Methods, Standards and Components for Wireless Communications and Power Transfer Aimed at Intra-Vehicular Applications of Launchers

Abstract

In the world of space systems and launchers in particular, there is always a strong demand for the reduction of the weight of all components/subsystems that are not related to the payload and simplification of the integration phase. A possible solution to both these problems is the replacement of cables and connectors with wireless systems for communication and power supply. With this aim, a survey was carried out through an analysis of the technical/scientific literature available on wireless communication standards and electric power transfer methods. To evaluate wireless systems’ effective applicability, the existence of applicable standards and commercial components that could facilitate their implementation was also verified. To provide information on specific applications, a synthesis of experiences in the aeronautical and space fields of wireless system demonstrators was reported. Consequently, it is clear that there is interest in the subject, but some applications are still limited to the demonstration of systems or, at most, to non-critical functions. Since wireless power transfer methods need less energy from the sensor nodes, a brief investigation into the architectures and components necessary to implement low-power sensor nodes is also included in this study.

1. Introduction

Wireless systems are an empowering technology for spacecrafts, enabling researchers to pursue objectives such as reducing the weight of all the components, reducing maintenance costs by removing complex and costly wiring, unrestricted mobility of instruments and simplification of integration phases. However, the above benefits are counter-balanced by two major challenges associated with wireless systems for space applications [1]: (i) wireless networks typically provide, with the current state of the art, a lower quality and reliability of service than their wired counterparts, demonstrating this in terms of potentially lower data rates, higher bit error rates, higher delay (latency), delay variability (jitter) and lower power transfer; (ii) the use of radio waves for data transmission (or for power supply) could interfere with other critical equipment in the environment, such as space vehicles or test facilities. Therefore, wireless solutions should be adopted only if they do not compromise critical operations and if they enable researchers to satisfy transmission (in terms of throughput and latency) and power supply requirements.

Further, considering the enormous progress made in terms of robustness, power management and flexibility (mainly in the case of wireless sensor networks), many stakeholders (agencies, suppliers and designers) are studying the possibility of using wireless technology inside spacecrafts, especially in non-critical applications.

Starting with high-level requirements regarding the typical sensor networks needed in launchers, this work conducts an analysis into standard wireless communication networks and wireless charging methodologies for electrical energy accumulators connected to distributed sensors in order to provide designers with a set of possible technical solutions that meet the aforementioned objectives. In particular, two main questions are addressed:

• What technologies and standards are currently available in the field of wireless communications and wireless power transfer applicable to the field of interest?

• Which configurations have been studied/evaluated in the recent past, as well as the limitations and drawbacks of such configurations?

It should be noted that in the specialist literature, there are various reviews of both wireless communication systems and cable-free electrical power transfer systems, each dealing with the topics separately and without specific reference applications. The present review instead combines all mentioned aspects by providing a landscape of the topic that is as complete as possible, and, at the same time, addresses the selection of technologies, standards and methods suitable for launcher sensor networks. Compared to previous reviews, our work also analyzes the existence of commercial components for the implementation of various technologies, sharing with the designer information regarding how consolidated these technologies are and how feasible it is to implement them in a setup. In addition, since there are no examples of applications, this paper collects experiences (in particular experimental ones) in similar application contexts, where various authors have assembled demonstrations of some of the technologies described in order to provide the designer with practical information on the related functionalities in some representative environments. Finally, to complete the overview of problems associated with the transition from wired to wireless systems, a brief analysis is also conducted of the architectures of low-power sensor nodes, which also contributes to the feasibility of wireless systems for launchers.

In summary, this work must be seen as a “toolbox” for a designer who is preparing to design a wireless system in the space context. Some suggested technologies are provided for sensor networks of launchers. However, it should be considered that the best solution has to be specified on a case-by-case basis depending on the specific application requirements. From this last perspective, the contribution given by this paper can be extended to more general intra-vehicular space applications.

2. A Case Study: Wireless Systems for Launchers

The reference domain of the present state-of-the-art study is intra-vehicular communications within launchers. The study in [1] contains the typical engineering characteristics of communications in this domain according to ECSS (European Cooperation for Space Standardization).

Launchers are typically between 30 and 60 m high, which results in long data cables. The short mission time of a launcher makes a wireless alternative advantageous in terms of low-capacity, low-weight batteries that can be used to power wireless interfaces and sensors. The approximate size of the needed wireless sensor network (WSN), the type of structure the WSN will be integrated into and electromagnetic compatibility (EMC) design constraints provide an idea of the potential complexity of the network topology and the resulting complexity. For example, multiple cavities within a launcher may require different network topologies to ensure the link budget in each of the cavities. Highly efficient “over the air” message formats should be used to minimize the energy consumed in transmitting data over a RF link. Where possible, pre-processing should contribute to the reduction in transmitted bits. Furthermore, a low-power sensor network should carry only one class of traffic, such as sensor data and different types of data traffic could increase the need to guarantee quality of service (QoS) for the different classes of traffic [1]. A given threshold for the emission power could be a requirement to be respected in order not to disturb any unit located inside the spacecraft.

Further, according to the concepts expressed in [1], it can be assumed that the sensor networks on the launchers are in general qualitatively characterized by (i) the parameters reported in Table 1 and (ii) a general reference architecture for the telemetry (TLM) system, as shown in Figure 1. In particular, as far as the telemetry architecture is concerned, the data transmitted wirelessly by the various sensors are collected by a RF interface called the RF HUB. The RF HUB transmits data on a wired point-to-point communication bus to a TLM Remote Unit, which aggregates them with the data coming from other wired (HW) sensors. Each TLM Remote Unit transmits data on a wired backbone, which carries them up to the TLM Central Unit for transmission in RF to the ground. A “star” network topology is therefore implemented in each stage while the topology between the various stages is of the “bus” type. Obviously, a scalability requirement should be intrinsically satisfied in order to change the size of a network with few significant changes to the technologies. In addition, applicability, reliability (depending on the particular application) and Technology Readiness Level (TRL) should be taken into consideration as criteria for evaluating the current state of the technologies required for low-power sensor networks. Furthermore, compliance with international standards ensures the interoperability of different sensors and long-term availability of wireless technology and, finally, compliance with applicable space requirements or adaptation of components to space qualifications is a necessity for the domain under examination to consider in the design phase.

3. Wireless Systems for Communications

Wireless networks are typically classified on the basis of the spatial coverage provided. Starting from the largest distance, they can be divided into WRAN (Wireless Regional Area Networks), WWAN (Wireless Wide Area Networks), WMAN (Wireless Metropolitan Area Networks), WLAN (Wireless Local Area Networks), PAN (Wireless Personal Area Networks) and WBAN (Wireless Body Area Networks), respectively, with coverage ranges up to 100 km, 15 km, 5 km, 150 m, 10 m and 3–5 m [1,2]. The survey reported in this chapter will only concern wireless communication standards for WLAN, WPAN and WBAN because the others are designed for coverage ranges wider than those required by the context under consideration and especially for outdoor-type applications. Therefore, WRAN, WWAN and WMAN will not be examined in this work. Further, it is worth noting that some WMAN standards, for example 3GPP standards, could still be suitable, especially considering the relative maturity (e.g., Long-Term Evolution, LTE) and their implementation, which is already available in challenging contexts (e.g., public safety). However, they offer services and advanced performances for wireless networks likely not necessary for the considered application, with an increase in cost and complexity compared to what can be achieved using WLAN standards.

3.1. Standards for WPAN and WBAN

WPANs are used to transmit information over relatively short distances between participating nodes. Unlike WLANs, connections made via WPAN involve little or no infrastructure at all. This enables implementing small, energy-efficient and cost-effective solutions for a wide range of devices.

The IEEE 802.15 working group has defined three classes of WPAN differentiated by data rate, battery consumption and QoS. The high-data-rate WPAN (802.15.3) is suitable for multimedia applications requiring very high QoS. Medium-speed WPANs (802.15.1/Bluetooth) are designed to replace the cables of consumer electronic devices and, in their first versions, were oriented for use on mobile phones and Personal Digital Assistants (PDAs) with a QoS suitable for voice applications (9.6 ÷ 64 kpbs). The latest class of IEEE WPAN, Low-Rate (LR) WPAN (802.15.4), is intended to support applications with low (or ultra-low) power and cost requirements, generally a limited need for data rates and QoS and not already addressed by 802.15.1 or 802.15.3 WPANs. LR-WPAN applications typically have a limited need for data rates and QoS.

It is worth observing that there are also other protocols used for LR-WPAN not based on 802.15.4 (a survey of LR-WPAN is shown in [3]), such as ANT, a proprietary protocol (created by ANT Wireless, a division of Dynastream Innovation Inc., then bought by Garmin [3]) operating in the 2.4 GHz Industrial, Scientific and Medical (ISM) band with a data rate which varies from 20 to 60 kbps, and Z-Wave, a proprietary standard developed by Zen-Sys, initially closed and then opened in 2016, operating between 865 and 926 MHz (depending on the regulation of the various countries) with supported data rates equal to 9.6/40/100 kbps (depending on the used modulations). They are typically designed for home and commercial building automation, fitness and health care applications. Therefore, they will not be further explored in this work (more details are reported in [3,4,5,6,7,8]).

WBANs are used to operate near or inside the human body to offer real-time monitoring of a patient’s health status and diagnose life-threatening diseases. However, they can also support non-medical applications. The standard to be considered for this type of network is IEEE 802.15.6.

3.1.1. IEEE 802.15.1 and Bluetooth

Bluetooth is a short-range, low-bandwidth WPAN technology. Originally published as IEEE 802.15.1, it has then been managed outside the IEEE by the Bluetooth Special Interest Group (SIG). It operates in the 2.4 GHz ISM band and uses the Frequency Hopping Spread Spectrum (FHSS or the FH-CDMA) transmission scheme. Bluetooth wireless devices and networks are mainly designed for low-power applications using batteries as a power supply. In particular, most Bluetooth devices transmit at a power level of 1 mW (0 dBm) [1].

Different versions of the Bluetooth technology have occurred over time; the features of some versions, namely Bluetooth Classic, Bluetooth Low Energy 4.x and Bluetooth 5, are illustrated in Table 2 [9]. Further information regarding the Bluetooth versions can be found in [1,9].

Bluetooth Low Energy version family (which includes BLE 4.x, Bluetooth 5 @ 2 Mbps and Bluetooth 5 Coded) is certainly the most interesting version and deserves an in-depth examination. Compared to Bluetooth Classic, 40 channels are used, each with a bandwidth of 2 MHz. These channels can be of two types: advertising channels, used for “discovery” functions of devices that can be associated with the network, connection initialization, data broadcasting and data channels used for communication between two connected devices. The adaptive frequency hopping (AFH) mechanism is also supported in order to reduce interference with 802.11-based networks. Four possible roles are expected for a device within a BLE network: peripheral, central, broadcaster and observer [10]. Broadcast and peripheral devices use advertising channels to transmit and receive broadcast data, respectively. A device with the central role is responsible for creating and managing connections with devices with the peripheral role. After a connection between two devices is initiated, they, respectively, acquire the role of master and slave according to the role assigned to them during the connection initialization procedure [10]. The master communicates access to the medium using a TDMA (Time Division Multiple Access)-based polling mechanism, in which it periodically polls its slaves for their corresponding Connection Events (CEs). CEs are uniformly spaced within a configurable periodic interval called a connection interval (CI) [11]. Frequency hopping is used in such a way that each CE uses a different channel. Thanks to these mechanisms, it is possible to obtain very low latencies. Finally, in the classic version of Bluetooth, a network is limited to a “piconet” of eight members, with a master and up to seven slaves (several piconets could still be combined to form a “scatternet”, in order to enable a network topology hierarchical). In the new versions, the number of nodes belonging to a piconet is unlimited.

From Table 2, it is easy to see that Bluetooth 5 doubles the coverage distance compared to the BLE 4.x version. This distance can be further increased with Bluetooth 5 Coded thanks to the adoption of two coding schemes for which two and eight symbols are, respectively, transmitted per input bit to the encoder. A comparative table of the data rates supported in the low energy variants of Bluetooth is shown in the following Table 3 (where S is the number of symbols transmitted per input bit to the encoder) extracted from [9].

To ensure even greater ranges, Bluetooth has introduced the Bluetooth Mesh standard. In this case, communication is implemented using BLE advertising and scanning the three channels dedicated to this function. The mechanism used is named the “flooding”, since each network node re-forwards the incoming messages to the destination. Unlike normal BLE advertising, node transmissions in Bluetooth Mesh are not scheduled on the basis of an advertising interval, but they take place after a random pause time. The overall latency is influenced by this mechanism which, however, is necessary to decrease the probability of collision and ensure reliability and scalability of Bluetooth Mesh networks. Consequently, Bluetooth Mesh-type networks are not suitable for applications requiring low latency, such as security systems and closed-loop control and regulation systems [11].

Bluetooth is currently an active technology, commercially widespread, widely supported by COTS-type hardware devices and constantly updated. Thanks to the configurability of some parameters (such as the connection interval and the advertising interval), Bluetooth provides different performances suitable for different operating scenarios. In any case, due to the interdependence of these parameters, an evaluation (experimental or at least by simulation) is still necessary to determine the actual obtainable performances. In this regard, as highlighted in [12], it should be noted that although it is possible to satisfy both low-latency and high-reliability constraints (see the work shown in [10] related to time-critical industrial applications); the simultaneous satisfaction of both requirements for avionics wireless communications applications is not currently achieved.

3.1.2. IEEE 802.15.4

IEEE 802.15.4 (or more briefly 802.15.4) is a constantly evolving standard (a good summary of the standard historical evolution—until 2021—is reported in [13]) characterized by low-power consumption and bandwidth and intended for wireless sensor networks and for monitoring, control and supervisory applications. It does not define a complete protocol stack compliant to the Open Systems Interconnection (OSI) model, but only the PHY physical layer and the Media Access Control (MAC) sublayer of the data link layer of an OSI-compliant stack.

During its evolution, several PHYs have been defined with modulation schemes operating on different frequency bands. The most popular is the one based on the Direct Sequence Spread Spectrum (DSSS) with O-QPSK modulation operating in the 2.4 GHz ISM band, which has been widely implemented and is the reference for most other 802.15.4-based protocols. The maximum data rate supported at the physical layer is equal to 250 kbps while the coverage range is of the order of 10 m (protocols based on 802.15.4 can have wider coverage ranges, as will be seen later).

The mechanism for creating a PAN provided by the MAC sublayer has two classes of devices: Full-Function Devices (FFD) and Reduced-Function Devices (RFD). Each PAN must have an FFD designated as a network coordinator who is responsible for making the PAN apparent to other devices and is responsible for mediating the process of joining the network itself [1].

Both RFDs and FFDs can associate with the PAN coordinator and once joined to the PAN, other FFDs can act as secondary coordinators, making the PAN evident to candidate “child” devices and associating with them as sync “parents”. Furthermore, each FDD node can also communicate with another FDD node, as well as with its own coordinator and with any “child” node (while an RFD can communicate only with its parent FDD). Consequently, the standard enables implementing networks characterized by very different topologies (from star networks to mesh networks), even if no indication is given on how to route messages through multiple intermediaries or to construct the messages themselves (these operations are delegated to the higher levels of the OSI stack not defined by 802.15.4.) [1].

Once a device is associated with a PAN, two operating modes are possible (according to the original version of the standard): “beacon enabled” and “non-beacon enabled” [13]. It is useful to briefly illustrate their operation (as reported in [1,13]) because it is the basis of the other protocols that 802.15.4 and other standards covered in this document use.

In the “beacon-enabled” mode, the network coordinator divides the time into a series of constant intervals, called superframes, composed by a certain number of fixed intervals called slots, used to manage access to the shared medium. A superframe consists of two main sections. The first section is the active one and is used to exchange frames between the various nodes of the network. It is divided into two parts: contention access period (CAP) and contention-free period (CFP). In the first part, the nodes use the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) algorithm in the “slotted” version to access the channel. In the second part, the TDMA access technique is used and the transmission channel is reserved only for nodes with specific needs in terms of throughput or delay; guaranteed time slots (GTS) are assigned to these nodes (by means of a negotiation in the CAP) in which it is possible to transmit without interference from other network nodes. The second section represents an idle time interval in which no transmissions are enabled; accordingly, all nodes can switch off their radio module and go into the sleep mode in order to save energy. Each super frame begins with the transmission of a frame beacon used by the coordinator to synchronize the nodes associated with the superframe, to describe the structure of the superframe (duration of the active and inactive sections, definition of the components participating in the active period, etc.), and to identify the network PAN.

In the “non-beacon-enabled” mode, access to the shared medium is managed exclusively through the CSMA/CA algorithm in the “unslotted” version. A periodic transmission of the beacon is not foreseen (the beacon is transmitted only following an association request initiated by an end device) and there is no synchronization service for the FFD and RFD nodes. When an RFD comes out of the sleep mode (output managed by a higher protocol layer than the MAC) it must interrogate the network coordinator to be able to transmit the pending messages. This mode enables great energy saving by the RFD nodes, which can operate in the sleep mode for longer periods, but imposes that the coordinators are always active to avoid any unanswered requests. Furthermore, the timely delivery of the messages cannot be guaranteed as the MAC sublayer of the standard does not define the “wakeup” schedule of the RFD nodes. The service provides a “best effort” quality [13].

As regards the evolution of the 802.15.4 standard, the 802.15.4e amendment has particular importance because it makes some changes to the MAC sublayer by introducing three new operating modes designed for industrial applications: time-slotted channel hopping (TSCH), deterministic and synchronous multichannel extension (DSME) and low-latency and deterministic networks (LLDN). A short description of these modes (excerpted from [11,13,14]) is shown below.

TSCH is an operating mode (inherited from the WirelessHART standard) designed for control and automation applications requiring a real-time response from the network. It is based on two main concepts: time slotting (i.e., subdivision of time into time intervals called timeslots) and channel hopping. TSCH runs on a “non-beacon-enabled” mode and uses the concept of slotframe (instead of the 802.15.4 superframe), which is a collection of timeslots that repeats periodically over time. The duration of a timeslot (which typically ranges from 6 to 10 ms) and the number of timeslots in a slotframe are configurable. The length of the slotframe is based on a trade-off between power consumption and throughput [11] (a decrease in the slot frame increases both power consumption and throughput, and vice versa). As mentioned before, in addition to time slotting, TSCH also uses channel hopping to decrease the impact of interference and fading on a channel. The nodes, in fact, have more channels available to be able to communicate (16 @ 2.4 GHz). The combination of timeslots and frequency channels creates cells that can be used for transmission by the nodes and enables a scheduling matrix of these cells to be setup both in time and in frequency. The standard defines two types of cells: dedicated cells, used exclusively by a specific transmitter to send its frames without contention, and shared cells, i.e., cells used between multiple transmitters with contention management (using, for example, CSMA/CA). Thanks to channel hopping, a first unsuccessful transmission in a given cell can be repeated in another cell in order to avoid noisy channels (due to interference, fading, etc.). If all channels were used at the same time with channel hopping, the aggregate throughput and scalability of the network could increase. However, all the slave nodes in the network usually communicate with the same master node (therefore with a centralized architecture), which is not able to receive and transmit on multiple channels simultaneously; therefore, the nodes will be forced not to transmit simultaneously regardless of the used channel-hopping scheme.

DSME is another MAC-level mode designed for applications (industrial and commercial) requiring rigorous timeliness and reliability. In particular, a superframe with a structure similar to the original version of the standard (i.e., superframe with CAP and CFP) is used, with an Enhanced Beacon (EB) inherited from the original 802.15.4 one. The mode also supports the use of multiple channels in the same superframe. The nodes transmit in the CAP using the channel number selected during association with the network, while they transmit in the CFP using the channel assigned for their guaranteed time slots (DSME-GTS). The channel assignment can also use channel diversity methods (channel adaptation or channel-hopping). DSME can also reduce the CAP in order to save energy by replacing it with CFP. Finally, DSME enables defining multi-superframes consisting of cycles of repeated superframes.

LLDN is the mode that can be used for industrial and commercial applications requiring low and well-defined latency. LLDN only supports star topology networks managed by an appropriate coordinator. In addition, it uses a specific version of the superframe based on the introduction of new timeslots: a beacon timeslot (for synchronization), timeslots for downlink and uplink (optional, use for managing data transmission in both directions), a timeslot for data transmission, a Group ACKnowledgment packet timeslot (GACK), a data retransmission slot (for failed frames indicated in the GACK), bidirectional timeslots for transmitting data to and from the PAN coordinator.

Note that the IEEE 802.15.4e amendment does not define how to implement some of the mechanisms introduced. For example, the scheduling algorithms in the case of the TSCH mode are not defined. Their implementation is, therefore, left to the developer.

Finally, it is worth mentioning the amendments 802.15.4g and the 802.15.4z. The first one defines alternative PHYs (including one based on OFDM [15]) and operates in the sub-GHz band with a coverage range of up to 1 km [11] (it can be used as a benchmark against other standards operating in the sub-GHz band, in particular 802.11ah). The second one updates the UWB PHY [16], initially included in the 2011 version of the IEEE 802.15.4 with sub-GHz, 3.1 ÷ 4.8 GHz and 6.0 ÷ 10.6 GHz operating bands.

The main wireless sensor network standards for industrial applications based on 802.15.4 are described below, namely ZigBee, WirelessHART, ISA100.11a and WIA-PA. The information reported is excerpted from [1,11,17,18,19].

There is also another proprietary wireless network technology based on IEEE 802.15.4, both for the PHY layer and the MAC sublayer, namely Thread, developed in 2014 by the Thread Alliance. It is a low-power technology similar to ZigBee, both can be seen as software variants (layers above the MAC are implemented in software often integrable on top of the same hardware, but with worse performances in terms of latency and required power). Considering that it is mainly used in home automation and commercial buildings applications, it will not be further explored in this work (further details are reported in [3,20]).

ZigBee

Introduced in 2004, ZigBee is the first standard implemented starting from the layers (PHY and MAC) provided by IEEE 802.15.4, with the addition of the network layer and the framework for the application layer. The architectural scheme of the protocol stack is shown in [17]. Star, tree and mesh network topologies are supported using nodes with different characteristics, namely ZigBee Coordinators (ZC), ZigBee End Devices (ZEDs) and ZigBee Routers (ZR) (see [17] for further details about network these nodes and the network topologies).

As far as the physical layer is concerned, ZigBee inherits from 802.15.4 the O-QPSK PHY operating in the 2.4 GHz band, the BPSK PHY operating in the 868 MHz (used in Europe) and 915 MHz (used in USA) bands and the FSK PHY located in the 863–876 MHz and 915–921 MHz bands [17]. The data rate can be equal to 20, 40, 100 and 250 kbps depending on the PHY and frequency band used. As regards the MAC sublayer, ZigBee supports both “beacon-enabled” and “non-beacon-enabled” versions of 802.15.4. Obviously a “non-beacon-enabled” configuration simplifies the implementation, but involves the limitations previously observed for 802.15.4. However, the ZigBee stack configurations implemented in the devices may not support the “beacon-enabled” mode.

With reference to the channel access method, ZigBee defines two versions of CSMA/CA, slotted and unslotted, used, respectively, for the beacon-enabled and non-beacon-enabled modes. In both cases, there is a back-off mechanism (i.e., waiting for a randomly calculated pause after a collision) which can cause transmission delays and non-deterministic behavior, especially in the presence of high traffic.

Interferences within the operating frequency band are managed using an approach based on a technique known as frequency agility: when a device realizes that its operating channel is subject to interference, it looks for the best channel to transmit on and, under the direction of the coordinator, shifts traffic to the newly determined configuration. Since the error statistics and the possible channel change notification always travel on the channel subject to interference, the overall network modification could take some time, resulting in a much slower solution than the frequency hopping (where a predefined hopping pattern is used).

As far as routing is concerned, two methods are provided: “tree routing”, for tree-type topologies, and “Ad hoc On-demand Distance Vector (AODV) routing” for mesh-type topologies (for further details, see [18]).

Finally, it is worth observing that for applications requiring a deterministic delay (latency) and controllable responses the star topology is the best option, even though robustness and scalability may be affected; in fact, if the connection path between two nodes is interrupted, there are no more possibilities to recover communication using alternative paths.

WirelessHART (IEC 62591)

WirelessHART is a communication standard designed for industrial automation processes. It operates in the 2.4 GHz band, uses 15 different channels supported by a PHY layer inherited from 802.15.4 and shares many characteristics with the 802.15.4e amendment.

WirelessHART combines TDMA and CSMA access methods. In particular, the advantages of TDMA and channel hopping (in slotted hopping mode) are exploited to counteract the effects of fading and interference. The operating strategies of the MAC layer are based on the Time Synchronized Mesh Protocol (TSMP) designed by Dust Networks. As in the case of TSCH, a two-dimensional array made up of timeslots and channels is used for the media access. Time slots are grouped into superframes that are continuously repeated throughout the lifecycle of the network. Variable length superframes are also supported and at least one superframe must be enabled. Other superframes can be added or removed during network operations and are managed by the network manager. The duration of the timeslot is fixed at 10 ms. The scheme used enables multiple devices to transmit at the same time using different channels. However, a single device can only use one channel per timeslot. Finally, there is a mechanism that identifies noisy channels and places them in a sort of blacklist.

The main elements of a WirelessHART network are gateway, access point (AP), network manager and field devices. Field devices, which include network sensors, have full routing capabilities. The AP, on the other hand, is only used to connect the field devices to the gateway. Finally, the network manager performs some operations necessary for the functioning of the network in a centralized manner (network configuration, scheduling and management of communications between field devices).

The basic topology supported by WirelessHART is mesh. Low latencies can only be obtained using star-type configurations and with very short superframes which, however, penalize the scalability of the network. Consequently, WirelessHART networks are constrained either by latency or by the number of nodes to connect.

Another feature of this standard is the possibility of using graph routing (for further details, see [18]), in addition to the source routing mainly used in the network commissioning phase for diagnostic and testing activities.

Finally, WirelessHART is a standard designed to support integration with industrial automation devices that comply with the HART protocol (Highway Addressable Remote Transducer), so it may have limited use depending on the application context.

ISA100.11a-2011 (IEC 62734)

ISA100.11a is a full-stack standard designed for industrial wireless sensor networks that require secure and reliable communications for non-critical closed-loop or open-loop monitoring, alerting, supervision and control applications. For the physical level, it adopts the O-QPSK DSSS modulation at 2.4 GHz as defined by the IEEE 802.15.4-2006 standard, while it replaces the MAC of that same standard with an alternative one supporting frequency hopping. The single hop coverage range is up to 100 m.

ISA100.11a is similar to WirelessHART, but unlike the latter it offers flexibility in customizing network operations. At the MAC level, it uses TDMA and CSMA/CA and channel hopping. CSMA/CA is typically used for message retries, association requests, exception reporting and burst traffic. The use of each channel is reduced by means of timeslot synchronization and channel hopping resulting in an optimization of the spectral occupation. Communications take place in timeslots with a constant and configurable duration (from 10 to 12 ms), grouped in a superframe that repeats periodically over time. The superframe length is configurable and may differ for each node. In general, longer superframes result in higher latencies but enable saving energy and a more efficient bandwidth allocation.

The way frequency hopping is used is based on slotted hopping and is similar to that of WirelessHART except that in ISA100.11a each device identifies the actual channel to use by using a preset pattern which provides a specific sequence of channels to follow when changing frequency. In order to limit collisions with 802.11 networks, the standard recommends five hopping patterns. In addition to slotted hopping, ISA100.11a also supports two further techniques: slow hopping, based on grouping several contiguous timeslots on a single radio channel (with configurable hopping periods) and hybrid hopping, which simply combines slotted and slow hopping.

The devices of an ISA100.11a network belong to two classes: Field devices and Infrastructure devices. Field devices include devices equipped with routing capabilities (the latter can be disabled to optimize network performance in terms of latency or power consumption) and I/O devices that do not support routing but only provide data and/or use data provided by other nodes. Infrastructure devices include backbone routers, gateways and system and security managers. Backbone routers act as proxies as they route data packets to their destinations through a backbone network to which the gateway is also connected. The supported topology can be either mesh or star.

A strong similarity with WirelessHART also remains in terms of routing, since the algorithms used are the same. However, there are several differences such as faster addition of a node for a dense network, higher reliability and latency in cyclic communication and less adaptability to changes.

Finally, even if the standard does not limit the number of nodes in the network, as in the case of WirelessHART, a trade-off must be made between latency and the number of nodes that can be connected, also considering the possible presence of bidirectional traffic. In fact, an increase in the number of hops or the presence of bidirectional traffic doubles the latency or halves the number of connectable nodes.

WIA-PA (IEC 62601)

Wireless Networks for Industrial Automation-Process Automation (WIA-PA) is a full-stack standard fully compatible with 802.15.4 used for industrial automation processes. The MAC sublayer is enhanced by a combination of CSMA, TDMA and frequency hopping schemes built on top of 802.15.4. To ensure the reliability of communications between network devices as well as the relative synchronization, WIA-PA uses superframes with a structure compatible with 802.15.4 and a “beacon-enabled” operating mode. It should be noted that the WIA-PA MAC substantially has anticipated the same technology then defined by the 802.15.4e amendment for the DSME operating mode. There are three frequency hopping mechanisms used: adaptive frequency switching (AFS), used during superframe communications to change channels in the presence of interference; adaptive frequency hopping (AFH), used in intra-cluster communications (a sort of sub-network in which a WIA-PA network is organized) to change the channel randomly based on the quality of the channel itself; timeslot hopping, always used in inter-cluster communications to regularly switch channels for each timeslot according to a hopping sequence defined by the network manager.

As far as the topology is concerned, WIA-PA combines a hierarchical cluster-based architecture with a mesh-type architecture between the star nodes of the cluster hierarchy (cluster heads). The main elements of the architecture are routing devices, gateway devices and field devices. The routing devices have the role of cluster heads and have the task of building and monitoring their own cluster and routing the data packets received towards the backbone network. For each network, a redundant cluster head is recommended to act as a backup in order to prevent a failure on the cluster head from compromising the entire network. The field devices, which are members of each cluster, carry out the measurements and send them to the cluster head without routing capabilities. Finally, the gateway devices receive data from the routers and enable different communication methods and for transforming the WIA-PA protocol into a different protocol. Data packets are routed using static routing.

3.1.3. WPAN Standard IEEE 802.15.3

The 802.15.3 standard, approved in its first version in 2003, defines the MAC sublevel and the PHY level for high-data-rate WPAN networks [21]. The MAC enables quick and easy network formation, provides excellent QoS, security through AES encryption with 128 bit key in the CCM (Counter with Cipher block chaining—Message authentication code) mode [22], and methods for coexisting with other wireless networks in the same band. The PHY operates in the unlicensed 2.4 GHz band with supported data rates of 11 up to 55 Mbps at distances greater than 70 m. In the subsequent versions, the efficiency of the MAC sublayer has been improved, a 60 GHz operating frequency band has been added, new data rates with a maximum value greater than 5 Gbps have been supported, and beamforming negotiation for the transmitter (in order to increase the communication range and transmission overhead reduction) has been introduced [23]. Finally, further upgrades have been added by three new amendments, that have been available since 2017 (the interested reader can find more details in [24,25,26]). The 802.15.3 network topology involves the use of a piconet, i.e., an ad hoc wireless communication network covering a circular area with a radius of 10 m and made up of several connected devices (nodes) called DEVs (devices). One of the network nodes must necessarily assume the role of PicoNet Coordinators (PNC) in order to: manage its operation, coordinate the media access, send information to DEVs and respond to requests for association and use of the channel [27]. The operating mode of the piconet is similar to the “beacon-enabled” mode of 802.15.4 thus providing the use of superframes, a contention access period and a channel time allocation period (for further details, see to [27]). Finally, non-coordinator DEVs can also create dependent piconets relying on the PNC of the starting network (parent piconet) to allocate the time slots dedicated to their operation [27].

3.1.4. IEEE 802.15.6

This is a standard specifically dedicated to Wireless Body Area Networks (WBAN), i.e., networks designed to offer real-time monitoring of a person’s health and diagnose life-threatening diseases. Further, 802.15.6 also supports application domains not necessarily related to medicine, such as data file transfer, video streaming, gaming and social networking applications [28]. The expected coverage range is about 3–5 m [2]. The description below is excerpted from [2,29].

802.15.6 only defines the PHY layer and MAC sublayer of a WBAN. As far as the physical layer is concerned, three distinct PHYs are defined: narrow band (NB), ultra-wide band (UWB) and Human Body Communications (HBC). NB PHY supports various frequency bands (including the 2.4 GHz ISM), DBPSK, DQPSK, D8PSK and GMSK (but only in the 420 ÷ 450 MHz band) modulations and a net information data rates range from 57.5 kbps to 485.7 kbps. UWB PHY operates in two frequency bands (low band and high band), each of which is divided into channels characterized by a bandwidth of 499.2 MHz, with typical data rates range from 0.5 Mbps to 10 Mbps. Finally, HBC PHY works in two frequency bands centered, respectively, at 16 MHz and 27 MHz with a bandwidth of 4 MHz. The frame used at the physical layer, called Physical Protocol Data Unit (PPDU), is illustrated in [28] for each PHY.

Above the PHY layer, the standard defines a sophisticated MAC that controls access to the channel. The time axis is divided into beacon or superframe periods of equal length. Each superframe contains a number of slots (of equal duration) allocated to enable data transmission. Beacons are used to delimit the superframe and allocate slots. If the beacon is not used (“non-beacon” mode), the boundaries of the superframe are defined by polling frames. The network coordinator (hub) transmits the beacons in every superframe, except in idle superframes or unless it is prohibited by regulations (as in the case of the Medical Implant Communications Service—MICS—band). There are three different modes of communication. In the first one, the superframe, delimited by the beacon, is divided into phases: Exclusive Access Phases (EAP1 and EAP2), Random Access Phases (RAP1 and RAP2), Managed Access Phase (MAP) and Contention Access Phase (CAP). EAP is used to carry high-priority or emergency traffic. RAP and CAP are used for non-recurring traffic. MAP, in turn, includes Type I and Type II phases, and is used for uplink and downlink bidirectional and unidirectional traffic allocations. The second one is a “non-beacon” mode and the entire duration of the superframe is covered only by MAP. The third mode is a “non-beacon” mode like the second, but it only supports Type II unscheduled polled or posted allocations (or a combination of both).

The access mechanisms used in each period of the superframe are divided into three categories: random access, which uses CSMA/CA or Slotted ALOHA for resource allocation, improvised and unscheduled access, based on unscheduled polling/posting, and scheduled access, which defines the slot allocation in one or multiple successive superframes. The first mechanism is used in EAP, RAP and CAP, while the others are used in MAP and non-beacon modes.

3.2. Standards for WLAN

WLAN Standard IEEE 802.11

The IEEE 802.11 (or briefly 802.11) standard was created in 1997, although it only became popular in 1999, when the 802.11a and 802.11b versions were introduced. Below, a brief description extracted from [1,11] is reported.

In an architecture based on 802.11, the basic organizational unit is given by the Basic Service Set (BSS) which, from a conceptual point of view, can be seen as a set of independent wireless stations logically organized to communicate with each other. BSS can be of three types: Independent BSS (IBSS), Infrastructure BSS and Mesh BSS (MBSS). IBSS is the simplest one: all the stations communicate with each other without the aid of a centralized node or message forwarding or relaying services. In any case, each station can communicate with other stations (based on the existing topology) but cannot act as a relay for the transfer of data packets. As a result, it is not guaranteed that all the stations within an IBBS can communicate with each other. This problem is solved in MBSS, where each station establishes communications with neighboring stations for mutual message exchange while ensuring multi-hop relaying. Finally, Infrastructure BSS is the most common, and is based on a centralized architecture in which each station communicates with an access point (AP), which is responsible for forwarding direct messages to the other stations. The AP also acts as a bridge to a possible Distribution Service (DS), such as an ethernet backbone. Furthermore, a Station-To-Station Link (STSL) mode is also supported. It was established using a procedure called Direct-Link Setup (DLS) and it is available only in the case of Infrastructure BSS.

As far as OSI stack is concerned, 802.11 defines only two layers: the MAC sublayer of the data link layer (DLL) and the physical layer (PHY). The PHY layer defines a number of transmission schemes including modulation and coding techniques for wireless communications. In the MAC sublayer, the two basic access schemes are Distributed Coordination Function (DCF) and Point Coordination Function (PCF). DCF is the default scheme for 802.11-based systems and is based on CSMA/CA. On the other hand, when a PCF scheme is used, the wireless communication is organized with time slots called superframes. Each superframe period is further divided into a contention period (CP), where DCF is used, and a contention-free period (CFP), where PCF is used. An AP then periodically polls the high-priority nodes and assigns broadcast slots for time-critical applications. The PCF works only if the network infrastructure operates in a centralized mode. However, PCF is poorly supported by manufacturers. To meet the different quality of service requirements that applications may require, in addition to the previous ones, the Hybrid Coordination Function (HCF) scheme may also be available (i.e., a combination of DCF and PCF with several variations). Finally, for mesh-type network configurations an additional coordination function called Mesh Coordination Function (MCF) is available.

802.11 operates in several frequency bands. 2.4 GHz ISM band and 5 GHz Unlicensed National Information Infrastructure (UNII) band are the most commonly used. Support for one or more bands depends on the version of the standard considered. Each band is then divided into channels, and each channel can be associated with a given network using 802.11. An example of this subdivision, related to the 2.4 GHz band, is shown in [1].

The evolution of the IEEE 802.11 standard over time has been characterized by sequences of successive versions. In some cases, some versions have been grouped into a single standard. A brief overview, excerpted from [11,30], starting with the relatively new ones (802.11n/ac, 802.11ah and 802.11ad) and ending with the latest generation ones (802.11ax, 802.11be and 802.11ay), is reported below. More details for the older versions (802.11a/b/g) are available in [12].

802.11n/ac—The 802.11n version (2009), operating both in the 2.4 GHz and 5 GHz bands, supports a data rate up to 600 Mbps thanks to MIMO (Multiple Input Multiple Output) techniques (multiple antennas are used to transmit and receive data), channel bonding (in the PHY layer adjacent channels are combined in order to increase throughput) and frame aggregation (multiple frames are aggregated in order to reduce interframe intervals and headers). The 802.11ac version (2013), operating in the 5 GHz band, increases the throughput offering a data rate up to 2.34 Gbps, with a maximum theoretical potential of 6.77 Gbps in multi-antenna configurations. Compared to 802.11n, the 802.11ac version supports higher cardinality modulations, wider bandwidth channels, more MIMO spatial streams, and the down-link Multi-User MIMO (MU-MIMO) in the 5 GHz band (up to four simultaneous downlinks connected to the same AP are supported).

802.11ax—Standardized in 2020, this version is designed to operate in all bands between 2 and 7 GHz (as bands will become available for use by the 802.11 standard), in addition to the classic 2.4 and 5 bands GHz. 802.11ax also aims to improve the performance of WLAN deployments in scenarios characterized by a large number of APs and their associated nodes deployed in limited spatial regions (for example, a stadium or an airport). The theoretical maximum throughput is quadrupled compared to 802.11ac (9.6 Gbps). Commercially known as Wi-Fi 6, 802.11ax is the current standard for the current generation of Wi-Fi (note that devices marketed as Wi-Fi 6 work in the 2.4 and 5 GHz bands, while the Wi-Fi 6E nomenclature does reference to products that support the 6–7 GHz band).

802.11be Extremely High Throughput (EHT)—This version is expected to become an effective standard in 2024. The goal is to support extremely high data rates compared to 802.11ax, with very wide bandwidths and high operating frequencies. Also compared to 802.11ax, reliability should also improve thanks to the simultaneous coverage of multiple base stations. 802.11be is expected to be the potential successor to Wi-Fi 6 and will likely be certified by the Wi-Fi Alliance as Wi-Fi 7. Features expected for 802.11be include bandwidth per channel up to 320 MHz, 16 spatial streams, coordination of activities of multiple APs both at the MAC (Coordinated OFDMA, Coordinated Spatial Reuse, Coordinated TDMA) and PHY (Coordinated Beamforming, Coordinated Joint Processing) level [31], integration of the Time-Sensitive Networking (TSN) extensions defined by IEEE 802.11 to support low-latency real-time data traffic [30].

802.11ah—This version was standardized in 2016. It operates in the sub-GHz 900 MHz band, uses contention-based PHY/MAC layers, and leverages on versions prior to 802.11n, with the goal of minimizing power usage (becoming a low-power version) and improving the management of mesh-type networks. The maximum theoretical data rate is equal to 347 Mbps in extreme configurations and the communication range is several times that of the 802.11n and 802.11ac versions. 802.11ah can serve up to 8192 stations per AP with a coverage range of up to 1 km, which can be further increased with the availability of relay-type functionality. To limit interference between stations and possible collisions, it introduces the concept of Restricted Access Windows (RAW), i.e., a mechanism that restricts access to the channel to a specific group of stations in correspondence with specific time slots. The stations assigned to specific slots within a RAW compete for the medium through the Enhanced Distributed Channel Access (EDCA), i.e., a variant of the DCF parameterized on the basis of different access categories defined for the stations (it is one of the mechanisms defined by HCF). The characteristics of the RAW and the relative assignment of the stations is configurable and can change at each beacon interval. Consequently, properly configured, RAW can introduce a certain degree of determinism into the network. 802.11ah also supports other mechanisms, such as the Traffic Indication Map (TIM) and the Target Wakeup Time (TWT), through which it is possible to customize (also together with the RAW) the network in order to reduce the latency and/or obtain an energy saving by the devices implementing the network.

802.11ad/ay—Standardized in 2012, 802.11/ad is designed to work at 60 GHz. In the original version it was supposed to support a maximum data rate of 6.8 Gbps, but in the current version and in the related implementations it supports up to 4.6 Gbps (so slower than 802.11ac-compliant products). In any case, the form factor of the products is very small due to smaller used wavelengths. 802.11ay is an improvement on 802.11ad (approved in 2021), operating with the same contention-based approach and at the same frequencies, with support for channel bonding and an improved spatial spectrum reuse. The communication has a short–medium range (up to 500 m) in free space conditions with a maximum supported data rate of 176 Gbps.

As highlighted in [30], 802.11n, 802.11ac, 802.11ad, 802.11ax and 802.11ah standards are all now quite mature, however the availability of hardware for the 802.11ax and 802.11ah versions is quite recent (starting from the end of 2019 in case of 802.11ax and from mid-2020 in the case of 802.11ah). For the 802.11ay and 802.11be ETH versions (for the latter, it is worth remembering that the definitive standard is not yet released), the availability of hardware is currently very limited or absent.

Comparison of the performance of the most recent 802.11 standard versions for three different metrics (data throughput as a function of distance, power consumption, suitability for mission-critical applications) are illustrated, respectively, in Figure 2, Figure 3 and Figure 4 excerpted from [30] (note that they also report the performances relating to the 3GPP LTE and 5G standards).

Analyzing the previous figures, it is possible to conclude that for applications requiring low-power consumption and data rates lower than 1 Mbps, the most attractive version is 802.11ah. As previously mentioned, 802.11ah also offers the possibility of configuring various characteristics of the PHY and MAC levels in order to optimize some characteristics such as latency and energy consumption. For high data rates, assuming to work in the 2.4 GHz and/or 5 GHz bands, 802.11n/ac/ax versions can be used. Although the 802.11n version is slightly less energy-intensive, the related products may soon become obsolete, so the preferred choice should be 802.11ax. This version can also be used for mission-critical applications [30]. 802.11ac can be a suitable solution in the 5 GHz band, also considering its extensive commercial support regarding hardware devices [30]. If it is necessary to operate in the 60 GHz band, 802.11 can be adopted as 802.11ay is still poorly supported.

Finally, as far as energy saving is concerned, it should be noted that 802.11 provides a basic “power saving” operating mode in which a station enters a “doze state” with all the RF components switched off. This mode is managed through a mechanism based on the TIM and the DTIM (Delivery TIM) [32]. 802.11ah improves on this mechanism by adding segmentation and defines an additional mode of operation for stations where there is no need to periodically “wake up” for beacon reception. For these stations, the AP uses the Target Wake Time (TWT) information (exchanged with the frame association request and association response), which is used to define when and how often the stations must wake up for uplink or downlink transmissions [32]. The mechanism is also supported by 802.11ax [33] and 802.11be in the Restricted TWT version (which forces all 802.11be-compatible devices to terminate their transmission before a TWT period begins [34]).

3.3. Standards Comparison

The characteristic parameters of the standards for wireless communication networks examined in this work are reported in Table 4, Table 5, Table 6, Table 7 and Table 8.

WirelessHART, ISA100.11a and WIA-PA are standards for industrial applications adopting the PHY defined by the IEEE 802.15.4 and operating in the 2.4 GHz band. They are based on full-stack protocols centrally managed by a network (or system) manager. WirelessHART and ISA100.11a define their own MAC while WIA-PA is fully compatible with 802.15.4 (in particular it is similar to the DSME defined by 802.15.4e). They all use frequency hopping mechanisms in order to improve the reliability of transmissions. In particular, ISA10.11a offers better performance when an interference generated by IEEE 802.11-type networks is present (thanks to the use of predefined hopping patterns operating in channels that do not overlap with those typically used for 802.11), while WirelessHART provides a greater degree of randomness in channel hopping. WIA-PA, compared to the other ones, adds adaptive characteristics to frequency hopping. WirelessHART, ISA100.11a, and WIA-PA can all offer good latency performance by using the TDMA access method (in addition to CSMA). The mechanism used by WIA-PA is a hybrid between TDMA and CSMA so its performance in terms of latency can be considered slightly lower. All three standards, being based on 802.15.4 PHY, enable low-power consumption; furthermore, in the case of ISA100.11a and WIA-PA, it is possible to disable the routing capabilities of some network devices in order to minimize the energy consumption. All three standards provide scalability characteristics, but as the number of nodes increases, it is necessary to use mesh-type topologies with worse performance in terms of latency. Furthermore, since their protocols are based on TDMA, the density of the network is limited by the need for synchronization and by the possible timeslot–device association. Finally, while ISA100.11a and WIA-PA support different communication protocols, WirelessHART is compatible only with the HART protocol.

ZigBee is also a standard used in industrial applications. Like WirelessHART, ISA100.11a and WIA-PA it is based on the PHY of 802.15.4 at 2.4 GHZ, but it also supports the sub-GHz one. Compared to previous standards, it is characterized by greater simplicity. It has good scalability characteristics but substantially using only CSMA-type access techniques, it is not suitable for applications requiring a network with determinism and low-latency characteristics. As far as interference reduction is concerned, a simpler but less robust mechanism (frequency agility) as compared to WirelessHART, ISA100.11a and WIA-PA, which in turn can lead to increased network latency. The protocol enables low energy consumption with the possibility for some nodes to operate in the sleep mode. This mode is managed by the application layer of the nodes with a consequent worsening, once again, of the network latency. In conclusion, this protocol should be preferred due to its simplicity if the latency of the network is not a binding parameter.

As regards the IEEE 802.15.4e amendment, it defines three operating modes, TSCH, DSME and LLDN, which can rely on different PHYs (always defined in 802.15.4), to be used for process control and automation applications where a real-time response from the network (TSCH) is required, for applications needing determinism and reliability (DSME) and for applications requiring a network characterized by a very low and confined (below a certain threshold) latency (LLDN). Further, the amendment does not define how some mechanisms underlying the aforementioned operating methods must be implemented. This implementation is up to the developer. For example, in the case of TSCH, it is not defined how to implement the scheduling for the medium access even though it impacts on the performance of the network itself. A custom implementation of mechanisms not defined by the standard could enable customization of the quality of service provided by the network (in any case, scalability and latency are always limited by the number of nodes that must be connected to the network). However, the mechanisms supported by TSCH are similar to those used in WirelessHART and ISA100.11a, so the obtainable performances should be similar. Going back to the physical level, the above operating modes can be applied to different PHYs, for example operating at 2.4 GHz (as in the case of WirelessHART, ISA100.11a and WIA-PA) or in the sub-GHz band (as defined in IEEE 802.15.4g). In [54], an example where a modified version of the LLDN mode is used in conjunction with the IR-UWB (Impulse-Radio Ultra-WideBand) PHY (defined in 802.15.4-2011) is shown.

BLE also defines the entire protocol stack and moreover, it has some configurable parameters that can highly influence the network performance. The power consumption is low and characterized by higher efficiency (energy per transmitted bit) than ZigBee. Latency is also very low but only in star-type configurations (provided that the limitations due to the coverage range enable the use of this topology). It worsens, together with the reliability, in the case of mesh-type networks. Finally, there are mechanisms that increase the reliability of the connections, at the same time penalizing the supported data rate.

If WPAN with high data rates are needed, 802.15.3 can be an option. This standard has several similarities with 802.15.4 as regards the MAC, but at the same time it defines a PHY operating at 2.4 GHz characterized by a data rate in the order of tens of Mbps. Even higher data rates are supported by 802.15.3 also in other bands (e.g., 60 GHz).

High data rates are also supported by different versions of 802.11. 802.11ah (a version (designed for the IoT and for industrial applications), operating in the sub-GHz band, consists of a MAC characterized by many configurable parameters that make it possible to significantly change performances and power consumption of the devices connected to the network. 802.11ah essentially enables making a trade-off between supported data rate, coverage range and latency (good latency performance can be achieved for limited-scale networks). 802.11ax, corresponding to the Wi-Fi 6, works in the 2.4 and 5 GHz bands (further, it is designed to operate in the entire 2–7 GHz range), supports high data rates and can also be used for mission-critical applications. 802.11n should be considered obsolete for new applications (unless 802.11ax-compliant devices are no available for the considered application context). 802.11ac can be a suitable solution in the 5 GHz band, also considering given the wide commercial support for the related hardware. Finally, 802.11be, not yet approved to date, is promising for future applications as it is able to support the set of Time-Sensitive Networking (TSN) standards for low-latency and very high-reliability communications.

If the application range is in the order of a few meters, 802.15.6 could be used. It is a standard characterized by very low transmitted power and medium–low data rates (depending on the PHY used), but it is mainly designed for electromedical rather than space applications (indeed, it is not included in the list of communication standards applicable for intra-vehicular communications in space missions [1]).

To conclude, considering the values for the parameters characterizing wireless sensor networks in launchers shown in Table 1, we suggest 802.11ah as the technology to be preferred, also thanks to its configurability which enables making a trade-off between supported data rate, coverage range and latency, ensuring extreme flexibility. In the case of low data rates (less than 250 kbps), ISA100.11a can be an alternative thanks to low-power consumption, scalability characteristics, support for different communication protocols, good commercial diffusion (as shown in the next paragraph) and good latency performance. Lastly, when a very high data rate is required (up to a few thousand of Mbps), 802.11ax is the mandatory choice, while waiting for the approval of 802.11be (the best future option if features of low latency and very high reliability are needed). However, the most suitable technology always depends on the type of application under consideration, also in accordance with any existing recommendations and best practices provided by space agencies. To this end, for example, the designer can refer to some ESA recommendations [55] related to relatively small PANs for spacecraft monitoring and control tasks using low-data-rate communications with single-hop configuration and contention-based or scheduled access. In detail, in the case of contention-based access, both the PHY and MAC should be compliant with the IEEE 802.15.4-2011 specification and should use 2.4 GHz frequency band, whilst in the case of scheduled access, both the in-air interface PHY layer and the MAC sublayer should comply to the PHY level and the MAC sublevel specifications of the ISA100.11a-2011 standard.

Finally, taking into consideration a similar application for the definition and the identification of a wireless communication system suitable to replace the onboard legacy wired communication systems, it is possible to refer to the Wireless Avionics Intra-Communications (WAIC) systems (i.e., systems providing a radio communications between stations on a single aircraft and forming the exclusive closed on-board networks necessary for the operation of an aircraft) and the related literature (see [11,56,57]).

3.4. Availability of Commercial Devices

The commercial availability of devices that meet the standards considered in this document is illustrated in Table 9.

4. Wireless Technologies to Transfer Electric Power

The terms wireless power transfer (WPT), wireless power transmission, wireless energy transmission (WET) and electromagnetic power transfer indicate the transmission of electromagnetic energy without the physical connection of electrical cables. Regardless of the method to transfer energy, all wireless power transmission systems have in common a transmitter, driven by electrical energy from a power supply, that generates a time-varying electromagnetic field which transmits energy through space to a receiver which, in turn, extracts energy from the field and provides it to a load. The input power to the transmitter is converted into an oscillating electromagnetic field by some type of “antenna”. This device could be a wire coil that generates a magnetic field, a metal plate that generates an electric field, an antenna that radiates radio waves or a laser that generates light. A similar “coupling device” on the receiver converts the oscillating fields into electric power [87].

Wireless power techniques mainly fall into two categories, “near field” and “far field”. In near-field or non-radiative techniques, power is transferred over short distances by magnetic fields, by inductive coupling between wire coils, or by electric fields, by capacitive coupling between metal electrodes. In far-field or radiative techniques, power is transferred by beams of electromagnetic radiation, such as microwaves, infrared or laser beams [87].

The near-field or non-radiative region, is the area within approximately one wavelength (λ) of the antenna where the oscillating electric and magnetic fields are separated and power can be transferred via electric fields by capacitive coupling (electrostatic induction) between metal electrodes or via magnetic fields by inductive coupling (electromagnetic induction) between wire coils. These fields are non-radiative, which means that the energy remains a short distance away from the transmitter. If there is no receiving device or absorbing material within their limited range to “mate” to, no energy exits the transmitter. The fields, and therefore the transmitted power, decrease very rapidly with distance, so if the distance between the two “antennas” is much greater than the diameter of the “antennas”, very little power will be received. These techniques therefore cannot be used for long-range power transmission [87].

Resonance, as in resonant inductive coupling, can greatly increase the transfer efficiency between antennas, enabling efficient transmission at slightly greater distances, although the fields still decrease rapidly [87].

Far field or radiative region means a region that extends beyond a wavelength (λ) of the antenna, the electric and magnetic fields are interdependent and propagate as an electromagnetic wave; examples are radio waves, microwaves and light waves. This part of the energy is radiative, meaning that it leaves the antenna whether or not there is a receiver to absorb it. The part of energy that does not hit the receiving antenna is dispersed and dissipated in the system [87].

As just said, two important parameters of any power transmission system are the operating frequency which determines the wavelength and the efficiency (fraction of transmitted energy that is received). Regarding the latter, it is difficult to provide reference numbers, but only qualitative elements can be provided, as this parameter strongly depends on the configuration, such as frequency used, size and shape of the “antennas”, distance between the antennas and reciprocal orientation as well as circuits of compensation. Some examples of the inductive transmission method in resonance are shown in [88].

Wireless power transfer can be used to power transmitter or receiver nodes in a wireless communication network. This type of application is known as “Wireless Powered Communication (WPC)”. In Wireless Powered Communication Networks (WPCN), wireless devices communicate using only the energy collected by wireless chargers. Typically, in WPCNs, two types of wireless chargers are considered. The first type aims at providing wireless charging, called an Energy Access Point (E-AP). The second type can also support data communication and function as a Data Access Point (D-AP) and is referred to as a Hybrid Access Point (H-AP). Research on WPCNs is twofold. The first one focuses solely on wireless charging, i.e., wireless power transfer and information transmission are separate. The second direction is on Simultaneous Wireless Information and Power Transfer (SWIPT), where wireless charging and information transmission are coupled to achieve a compromise [89].

To have an efficient SWIPT, fundamental design changes to wireless communication networks are required [90]. Reception reliability and information transfer speed are parameters conventionally used to evaluate the performance of wireless networks [91]. In SWIPT networks, the trade-off between information transfer rate and harvested energy level becomes an important factor to evaluate for system performance once users in the system perform Energy Harvesting (EH) using RF signals [91]. In [90], various possible architectures for SWIPTs are described and analyzed.

The technologies used to transmit energy using electromagnetic fields, listed in Table 9, differ depending on the distance at which they can efficiently transfer the power as well as on the type of electromagnetic energy they use: time-varying electric fields, magnetic fields, radio waves, microwaves, infrared or visible light waves [85,92,93,94].

The various methods are characterized by a very different level of technological maturity. In some cases, there are even some standards to refer, in others, they still are at the level of laboratory studies. Even referring only to a specific methodology, the technological readiness level (TRL) depends on the environment in which this methodology is applied. In the “aerospace” field, even if there are no precise references, the TRL of these technologies is to be considered rather low.

For the aspects of dimensions and weights, associated with the SWP (Size, Weight, Power), which are highly relevant requirements in the aerospace field, it is difficult to provide evaluations regardless of the chosen configuration, even circuit configuration, to be defined in the development of a design phase. Keeping aside for a moment the “electromechanical” methods mentioned in Section 4.3, which certainly have a greater impact on weights and dimensions, the other methods are essentially associated with electronic circuitry based on integrated circuits (IC), some examples of which are shown in Section 4.5. Starting from the assumption that the electronic circuitry rarely represents an obstacle to the containment of weights and dimensions, it is absolutely necessary to carry out at least a feasibility study to determine an estimate of weights and dimensions of a complete system. This is particularly true if we consider the available literature related to aerospace applications where these parameters are not considered since they are mainly aimed to demonstrate a functional applicability of the specific technology/method.

Taking into consideration the above introduction and summarizing what is reported in [92,93,94], Table 10 shows a qualitative comparison between the main electric power transmission methods for some significant parameters in order to evaluate the applicability of each technology.

4.1. ”Near-Field” Power Transmission Mechanisms

In inductive and capacitive wireless power systems, transmitters (TX) and receivers (RX) are placed in close proximity to each other. The coupling factor between TX and RX, depending on different design parameters, largely determines the efficiency of the link. Coupled WPT technologies are based on a general structure illustrated in Figure 5.

First, a power supply in combination with a transmitter circuit provides an amplified sinusoidal signal that can be controlled in both frequency and amplitude. For this purpose, a pre-regulator, a power inverter and a signal generator are required. Second, the transmitter antenna is coupled to the receiver antenna by means of an electric or magnetic field. Thirdly, the receiver circuit consists of an AC/DC conversion by means of a rectifier, smoothing capacitors and, optionally, a DC/DC converter [96].

The IPT technique (Induced Power Transmission) is based on the operation of a simple transformer in which a primary coil is powered by an alternate current. The current flowing in the primary coil creates a variable magnetic field in accordance with Ampere’s law [88] which induces an electromotive force according to Faraday’s induction law [88] in the secondary coil and thus transfers power to the load. In a transformer, the magnetic field is typically confined to a high-permeability core, but it also operates when the region between the primary and secondary coils is simply air [97]. Such systems are basically DC/DC converters built around a transformer whose windings are coupled in air. As the distance between the coils increases, the mutual inductance decreases rapidly resulting in a lower coupling factor. This significant reduction in coupling with increasing distance indicates that WPT via inductive coupling can only cover small distances.

IPT technology can be used for applications up to several kilowatts such as the charging of electric vehicles, it has an energy efficiency ranging from 50% [98] to 80% [97], it can use operating frequencies ranging from several kHz to a few MHz and it is a wireless power transfer technique for short distances ranging from a few millimeters to a few centimeters. However, this technology requires precise alignment for the charging path to achieve the highest level of efficiency.

The advantages of the IPT system include ease of implementation and operation. It is non-radiative and, due to its low transmission frequency, is considered safe for health. Furthermore, it does not present dangers induced by the possible presence of sparks and electrocution or short-circuit at any power level by virtue of the magnetic-type coupling. The main limitation of this mode of power transfer is that it performs well over considerably short distances. Increasing the transfer distance significantly reduces performance [99,100]. A key feature of the magnetic field is that it can transfer through any non-metallic and non-ferromagnetic material, such as plastic, glass, water, wood and, of course, air.

This method is based on the concept that two resonators with identical frequency can exchange energy efficiently with reciprocity [101]. Magnetic resonance coupling (MRC) can also be described as an improved IPT technology with compensation networks [98]. It uses resonance magnetic coupling to transfer energy from the transmitter to the receiver. Magnetic coupling in resonance can be generated by resonating each inductance of the primary and secondary coils with their respective parasitic capacitances. When the parasitic capacitance of the coils is inadequate to effect resonance at the desired frequency, an external capacitor is inserted in series or in parallel with the primary and secondary coil, respectively. Depending on the combination chosen, the compensation networks can assume the four topologies: series–series (SS), series–parallel (SP), parallel–series (PS) and parallel–parallel (PP) [88].

According to the available literature [97], the MRC-WPT technology has some advantages in terms of efficiency and transmission distance compared to the IPT for which the MRC-WPT is suitable in medium distance applications from tens of centimeters to a few meters while its operating frequency is usually much higher than in the IPT case: from a few MHz to several MHz.

The results of the studies reported in [97] show that the efficiency of the MRC-WPT can even exceed the traditional IPT system. In particular, the efficiency was higher than 80% at a distance of 50 cm and at 6.78 MHz. High operating frequencies and high-quality factors are the reasons behind the high-power transfer efficiency over long distances of the MRC-WPT method.

The resonant frequency changes as the distance and orientation between the coils varies, so for practical use an adaptive frequency tuning method is required to ensure that the highest possible transfer efficiency is maintained [102].

In [97], it is also highlighted that the IPT and MRC-WPT technologies use the same electromagnetic induction technique for power transfer; therefore, they can be merged together into a single technique despite their current distinctions. To confirm this, the research reported in [103], presents a comparative study between MRC-WPT and IPT by creating a model system for charging small batteries of implantable devices. This model behaves like a traditional IPT system when the system frequency is not the resonant one, while when it operates on a resonant frequency, it behaves like an MRC-WPT system.

The main difference between IPT and MRC-WPT is that the latter method is efficient even with low coupling factors and has less stringent alignment requirements, thus giving more spatial freedom to the positioning of the receiver with respect to the transmitter.

Energy can also be transferred through high-frequency electric fields using capacitive coupling. This method is referred to as Capacitive Power Transfer (CPT). In this case, the coupling between the receiving and transmitting parts is achieved through an electric field suitable for the efficient transfer of high electrical power. Usually, the capacitive coupling of a CPT system is represented as a pair of capacitors [104].

Unlike IPT and MRC-WPT, CPT does not generate eddy current losses in conductive objects and therefore introduces less fire risk. However, CPT suffers from a strong parasitic interaction with objects located in the environment. As a result, existing CPT solutions are targeted for low-power applications such as power and data coupling between integrated circuits or for power and data transmission to biomedical devices [105].

In recent years, high-power applications have become more viable thanks to recent studies on compensation circuits, suitable inverter stages and plate structures. New high-power applications such as underwater autonomous vehicles, railway applications, and electric vehicle charging or powering are some prominent examples. In particular, the dynamic charge capability of the CPT is considered promising [104].

Compared to magnetic induction methods, CPT has the following advantages [104].

• Power losses due to eddy currents are minimal.

• CPT is capable of wirelessly transferring energy through insulated metal objects.

• Contrary to IPT, some misalignments do not significantly reduce power transfer.

• Coupling is accomplished by simple conductive plates (e.g., aluminum or copper), which are less expensive and heavy than coils of wire. This simple configuration also facilitates high reliability and long life compared to IPT. Also, no special shape is required, enabling a versatile design.

• CPT is less bulky than IPT; therefore, it can be implemented in integrated circuits.

• Typically, less heat is produced than IPT with its high resistance coil windings.

• Enables easy setup to charge multiple receivers from a single transmitter.

Despite the benefits it offers, CPT is not yet available on the market and research lags behind IPT. This is due to a few major drawbacks:

• The low capacitance (and therefore the high impedance and low-power density) of the capacitive coupling;

• High frequencies and voltages are needed, especially to cover greater distances; this implies high demands on the converter components;

• High electric field between the primary and secondary sides imposes stringent operator safety regulations, e.g., object detection between the plates.

4.2. “Far-Field” Power Transmission Mechanisms

By adopting shorter wavelengths of electromagnetic radiation, typically in the microwave range, power transmission via radio waves become possible. A rectenna (rectifying antenna) can be used to convert microwave energy back into electricity [87]. A rectenna is a special type of receiving antenna that is used to convert electromagnetic energy into direct current electricity. A simple rectenna element consists of a dipole antenna with an RF diode connected between the dipole elements. The diode rectifies the alternating current induced in the antenna by the microwaves to produce unidirectional current which energizes a load connected across the diode.

In the case of electromagnetic radiation closest to the visible region of the spectrum (0.2 to 2 µm), power can be transmitted by converting electricity into a laser beam, which is received and focused on photovoltaic cells. This mechanism is generally known as “power beaming” because the power is projected towards a receiver which can convert it into electrical energy. Photovoltaic laser power converters optimized for the conversion of monochromatic light are applied to the receiver. Instead of being beamed directly at the receiver, laser light can also be guided by an optical fiber. In this case, we talk about power-over-fiber technology [87]. The advantages over other wireless methods are as follows [87].

• Wavefront propagation of collimated monochromatic light enables a small beam cross-sectional area for transmission over large distances; as a result, there is little or no loss of power as the distance from transmitter to receiver is increased.

• Compact size: solid-state lasers fit into small products.

• No radio frequency interference to existing radio communications such as Wi-Fi and cell phones.

• Access control: only receivers hit by the laser receive power.

The disadvantages however include

• Laser radiation is dangerous. Without a proper safety mechanism, even low-power levels can blind humans and other animals. High power levels can be harmful through localized spot heating.

• Conversion between light and electricity is limited. Photovoltaic cells reach a maximum efficiency of 40–50%.

• Absorption from the atmosphere as well as absorption and dispersion by clouds, fog, rain, etc., cause losses of up to 100%.

• Requires direct line of sight to target.

4.3. Other Wireless Power Transfer Mechanisms

For the sake of completeness, other electrical power transfer methods are mentioned below which currently have a lower TRL than the previous ones and which have been reported in this document because, although they are not currently present with commercial products yet, they are undergoing a significant boost in terms of research and therefore could see an evolution in the near future that makes them applicable for practical uses. Power transfer by “Magneto–Dynamic Coupling”, MDC [106,107,108], power transfer by “electrodynamic coupling” [96,109], “Acoustic Power Transfer”, APT [96], Metal Surface Guided—Wireless Power Transfer, MSG-WPT [110,111].

4.4. Standards for Wireless Power Transfer

Previous sections have identified the various methods currently under study to create effective and efficient power transfer systems. The world of research is very active in the field of WPTs oriented both to domestic and mobile applications and to applications on electric vehicles. However, the interest of research does not imply that all the methodologies have reached such a TRL that can be used in practical applications: we often speak of ad hoc implemented demonstrators and setups that are still far from practical implementations on a large scale. Although an ad hoc design activity is always required to implement any of the methods above described, the existence of some standards can simplify the design phase by reducing time and technical risks. Nevertheless, as it will be clear in Section 4.5, even if you choose standard-compliant components, you are still far from considering these systems plug and play. Depending on the chosen WPT method, a certain degree of design activity is always needed.

For many WPT methods there are no reference standards and for others the standards are in the process of being settled. This section presents an overview of the standards currently present in the WPT area excluding those relating to electric vehicles.

The Wireless Power Consortium (WPC) is an open standard development group with more than 400 member companies worldwide. It supplies a wide range of power transmission systems. WPC develops four standards: the Qi standard [112,113], the Ki Cordless Kitchen standard [114], the standard for light electric vehicles (LEV) and the industry standard [115]. Only the first is briefly described below.

The basic Qi standard is based on the IPT method. A two-way communication link is established using load modulation across the coils with Frequency-Shift Keying (FSK) modulation, thus eliminating the need for a supplemental radio system. The standard is developed for smartphones and other mobile devices and can transfer up to 30 W [112]. Future specification extension will provide up to 60 W to enable, for example, laptop charging [96]. The operating frequency is in the range from 87 to 205 kHz [112].

The power transfer system in the Qi specification is based on a single coil in the power transmitter with an outer diameter of 50 mm and a coil in the receiver with an outer diameter of 40 mm. In a typical use case, a receiver is placed on the top surface of a transmitter with its coils aligned. Ideally, the coils should be perfectly aligned for maximum power transfer, but coil misalignment of several millimeters is not a problem. The specification also features shutdown of the WPT when efficiency decreases due to, for example, misalignment and when foreign objects, such as metals, are detected which can cause safety problems [96,112].

All Qi receivers that have been integrated into various devices recently can be charged in the “inductive” and “resonant” modes. It is the transmitter (wireless charger) that defines the operating mode [113]. Most Qi transmitters use tight coupling between coils. In this configuration, the best results are obtained by operating the transmitter at a frequency slightly different from the resonant frequency of the Qi receiver. Off-resonance operation provides the maximum amount of power with the best efficiency. In this case, the system operates in the “inductive” mode [113]. As the distance between the receiver and transmitter increases, the magnetic coupling between the coils decreases. Systems with a low coupling factor must operate at the resonant frequency of the receiver. In this case, the system is in the “resonant” mode.

Loosely coupled systems compensate for the transfer of power over a greater distance with lower efficiency and higher electromagnetic emissions. Choosing these systems may be suitable in applications where it is impractical to have precisely aligned coils, but less suitable in applications with EMI or efficiency requirements.

The AirFuel Alliance is the merger of two previous standards groups, PMA (Power Matters Alliance) and A4WP (Alliance for Wireless Power). The organization focuses on creating wireless power standards based on magnetic resonance and radio frequency transmission [96]. The IEC 63028 Airfuel Alliance resonant baseline system specification describes the technical requirements, behaviors and interfaces used to ensure the interoperability of WPT systems with loosely coupled coils at the frequency of 6.78 MHz. The transmitter and receiver are called, respectively: Power Transmission Unit (PTU) and Power Receiver Unit (PRU).

The AirFuel Alliance uses Bluetooth Low Energy (BLE) to communicate between the receiver and transmitter, as opposed to the Qi standard, where communication is through paired coils. The main advantages are greater spatial freedom and multi-device charging [96].

The WireLess Charging (WLC) specification describes the standard created by the Near Field Communications (NFC) forum for charging small battery-powered consumer electronics or IoT devices through a smartphone. The system makes use of the magnetic resonance coupling mechanism, MRC. The WLC enables both communication and recharging with an energy transfer rate classified in four power classes: 250, 500, 750 and 1000 mW on a frequency of 13.56 MHz. These powers will enable charging devices such as smartwatches and wireless headsets [116]. During the exchange of energy, the data rate of 106 kbps remains compared to the maximum of 424 kbps of the NFC standard [96].

The Association of Radio Industries and Businesses (ARIB) defines wireless power transmission systems in the ARIB STD-T113 standard [117]. This standard, in its initial extension, consisted of only two parts. Part 1 specifies the capacitive coupling WPT system that uses electromagnetic waves at 400 kHz for the purpose of recharging electrical energy or powering mobile devices. Part 2 specifies the magnetic resonance coupling WPT system using 6.78 MHz radio waves. The standard in part 2 refers to the “A4WP Wireless Power Transfer System Specification”. Subsequently, part 3 was added which specifies an unspecified WPT system based on the surface coupling of the microwave electromagnetic field in the 2.4 GHz band [117].

4.5. Availability of Commercial Components

The following sections provide an overview of the integrated circuits and components currently on the market that can be integrated into custom products to create WPT systems. In some cases, there is “in principle” the possibility of implementing systems that work on proprietary methods but the information available is very infrequent, and often not of any practical value.

There are thousands of Qi-certified commercial products. For a reference list, you can look at the list of products on the Wireless Power Consortium (WPC) website [118]. Qi certification guarantees that devices (power receivers) and chargers (power transmitters) always work together regardless of the company that built them (interoperability) [119].

It is not possible to certify components such as coils, shields and integrated circuits. Compliance with the Qi specification can only be determined for products that are a fully functional Qi transmitter or Qi receiver. A product with components that have been successfully used in another Qi-certified product is not automatically compliant. The use of materials, different housings, different positions of coils and shields, even differences in firmware can interfere with wireless power transfer. Integrated circuit manufacturers usually demonstrate the suitability of their product by certifying a demo product, the so-called “Evaluation Module”. The products that use this IC must then be tested to verify their conformity: they are not to be considered automatically compliant [120].

Infineon’s (Neubiberg, Germany) WLC1115 is a highly integrated, Qi-compliant, fully configurable 15W transmitter control IC for wireless charging solutions that supports a wide range of input voltages from 4.5 V to 24 V DC. The WLC1115-based Extended Power Profile (EPP) transmitter solution using the other IC also from Infineon OPTIGA Trust Charge, meets the requirements specified in the Qi standard v1.3.2. Combined with Infineon’s comprehensive offering for USB-C chargers and broad MOSFET portfolio, the WLC1115 solution offers a complete product package that can meet regulatory and compliance requirements. This combination of hardware devices is also accompanied by software tools that support Qi v1.3.2 charging protocols [121]. The chip is marketed by Mouser [122].

ST Microelectronics’ (Geneva, Switzerland) STWLC68 is an integrated wireless power receiver suitable for portable applications and capable of handling up to 5 W of output power. The chip has been designed to support the Qi 1.2.4 specification for the IPT Base Power Profile (BPP) communication protocol [123].

ST Microelectronics’ STWLC38 is an integrated wireless power receiver suitable for smartphones and can provide up to 15 W of power output. The chip was designed to support Qi specification 1.3 for IPT, 5 W BPP and 15 W EPP communication protocol. STWLC38 is also able to operate in Tx mode to transmit power to charge other devices. In this mode, the device can deliver up to 5 W of power output [124].

ST Microelectronics’ STWBC2-HP is a digital controller specifically dedicated to the design of Qi-certified wireless power transmitter applications [125].

ST Microelectronics’ STWLC98 is a highly integrated wireless power receiver suitable for applications requiring up to 70 W output power [126]. The chip was designed to support Qi specifications 1.2.4 and 1.3 for the IPT communication protocol with EPP as well as the proprietary ST Super Charge (STSC) protocol for fast charging. The STWLC98 is the heart of the receiver whose counterpart sees the STWBC2-HP chip as a transmitter controller in a pair that can transfer up to 70 W with high efficiency [127].

Renesas Electronics (Tokyo, Japan) is a member of the Wireless Power Consortium (WPC) and, among other things, develops integrated circuits for wireless power transfer and Qi-certified reference designs. Renesas also produces reference kits for Tx circuits [128] and Rx [129] Qi-certified wireless power supplies that include everything needed to streamline custom application development and minimize time to market.

TDK (Tokyo, Japan) also offers a line of components for the creation of wireless power transfer systems [130]. In particular, TDK offers coils (antennas) for transmitters [131] and for receivers [132].

The availability of commercial components for the realization of wireless power transfer systems of the MRC type is very scarce. Such systems must be designed ad hoc. Some guidelines for their sizing can be found on the Airfuel Alliance website [133]. Some demo kits using this transfer mechanism can be found in [134,135].

Powercast (Pittsburgh (PA), United States) is a pioneer and leader in long-range wireless charging technology using RF energy. Since 2003, the company has provided solutions that combine its FCC-approved transmitters and receivers to enable automatic charging of multiple devices over the air, without the need for direct line of sight.

A transmitter sends RF energy over the air to a receiver chip embedded in a device, which converts it to DC to recharge batteries or directly power the device. This means that enabled devices automatically charge when they are within range of a power transmitter. The system is intelligent, configurable and controllable, it can activate automatically when the devices need to be charged and switch off when recharging is complete, or it can supply energy continuously or on a programmed basis. The transmitters are qualified for the US and Canadian markets.

The PowerSpot TX91503 transmitter transmits power over radio waves in the 915 MHz ISM band without a license [136]. Designed for use with Powerharvester receivers, the transmitter and receivers work as an end-to-end system to wirelessly charge batteries for consumer applications [137]. In its catalog, Powercast also offers development kits and evaluation boards that should enable the creation of simple and fast tests and prototypes with RF-based wireless power technology [138].

Powercast products are marketed by online distributors Mouser, Digi-Key and Arrow.

A technology that seems promising is the one proposed by OSSIA Real Wireless Power (Redmond (WA), United States) but the information available is very little. So far, no information on precise power ratings and distances has been released. The Cota technology of OSSIA Real Wireless Power [89,139] creates an environment that keeps any number of digital devices powered at all times. The Cota Power receiver, built into any device, initiates the “conversation” by sending out a beacon signal to find a Cota Power transmitter. The transmitter then sends power back the same path. This “talk” between the receiver and transmitter happens 100 times per second to send power to the remote devices even if they’re in motion.

Cota is a smart antenna system designed to safely charge multiple remote devices without users’ intervention at distances up to 10 m. There are three main components of the Cota platform: the Cota receiver, the Cota transmitter and the Cota cloud. The Cota receiver is based on a 3 mm × 3 mm integrated circuit, which can be integrated into any product. It is capable of receiving up to 4 watts of RF input power from the Cota transmitter. The receiver sends a low-power 2.4 GHz radio (beacon) signal to the transmitter which uses smart antennas to send the feed signal back along the same path, either a direct or an indirect one. The signal will bounce off solid objects and around any obstacles, following the same path used by the beacon to reach the transmitter. Any type of antenna can be used for the receiver. Multiple transmitters can work together to extend the power transmission range to distances much greater than 10 m. Cota Cloud helps activate, manage and monitor all connected devices, including deciding which devices need to be charged the most. The Cota wireless power system can also be retrofitted to battery-operated devices through the adoption of the “Cota Forever battery” that fits the footprint of current AA-type batteries [140].

Cota technology is the first RF-based non-line-of-sight remote wireless power product that can carry both the CE and UK Conformity Assessed marks.

OSSIA is a licensing company working to integrate Cota Wireless Power technology into other products. It does not sell products directly.

E-peas (Louvain-La-Neuve, Belgium) focuses on developing energy management solutions to enable autonomous operation of devices. E-peas presents a range of energy managers able to collect (harvesting) energy from photovoltaic, thermal, vibration and RF sources. In the RF case, the devices are capable of harvesting energy at input powers in the range from 19 dBm to 10 dBm in the 868 MHz, 915 MHz and 2.4 GHz frequency bands [141].

Energous Corporation (San Jose (CA), United States) manufactures the WattUp line of RF energy harvesting products. The EN2223 chip is a receiver compatible with the DA4100 transmitter [142]. Depending on the application, the developer can connect up to four antennas while the operating band is the 900 MHz [143]. Unfortunately, the documentation available is very limited.

5. Some Applications in the Aerospace Field

This section summarizes works on the analysis and experimentation of wireless systems, for communication and power transfer, both in the space and in the aeronautical fields.

As it will become clear in the following, the setups implemented always include a certain degree of engineering and customization to improve the characteristics which from time to time are deemed unsatisfactory for the specific application. Sometimes the implementation is on hardware features, sometimes on software ones (like protocols), sometimes on both. This means that currently no turnkey solution is available to integrate into a system.

Works in [144,145] describe the analysis of two WSN standards, the ZigBee and the ISA100.11a, which in 2012 the NASA Johnson Space Center (JSC) developed finalizing it for space applications. A particularly important aspect of the analysis is the experimental evaluation of the coexistence of each of these two standards with an IEEE 802.11g wireless network occupying the same frequency band.

The experimental analysis was guided by the consideration that intra-vehicular space environments can be very different from terrestrial application environments. Space vehicles tend to be composed of a number of small (or very small) cavities, introducing a radio frequency interference due to the multipath phenomenon that is different from that in most terrestrial applications and causing peculiar fading problems.

Since ZigBee and ISA100.11a adopt different multi-hop routing protocols, the test configuration predicted a single hop (star) topology with each node having to transmit data directly to a central hub [144].

To carry out the experimentation, a modular architecture was used and a setup described in detail in [144]. The test environment was the Wireless Habitat Test Bed (WHAT) at JSC which, in shape and size, reproduces a module of the International Space Station (ISS).

Based on the results of this experimental performance evaluation, it was concluded that both ZigBee and ISA100.11a may be used in aerospace applications. Where moderate to high latencies and packet loss can be tolerated, or where spectrum can be carefully managed to ensure non-interference over the operational life of the WSN, ZigBee Pro (a ZigBee version dated 2007) can perform well, it has the advantages of low cost per unit, rapid network formation, as well as the highest throughput achievable using 802.15.4 PHY/MAC radio layers. ZigBee Pro can, however, be susceptible to high levels of interference with IEEE 802.11g-type networks, resulting in a data transfer success rate of approximately 65–75% for the analyzed use cases. The high levels of interference occur when the Wi-Fi network is configured at 20 Mbps or more. Now, although these data rates may seem high, it must be considered that a single high-definition video stream (HDTV, High-Definition TV) with MPEG-2 encoding requires a throughput of 19.4 Mbps [144,145].

Starting from a collaboration between NASA and ESA, the hardware and software architecture, the experimental setup and the test methodology used for the analysis in NASA-JSC just mentioned, have been shared together with similar ones and used by other entities such as ESA-ESTEC testing the Venus Express (VeX) mock-up in the so-called Smart Sensor Inter-Agency Reference Testbench (SSIART) which should be a convenient way to extend recent advances in wireless networks beyond terrestrial environment [146].

The study in [147] reports the results of the experimental evaluation performed in 2015 of a wireless sensor network for a Health Monitoring System inside a reusable rocket, where the wireless sensor node is powered by microwave power transmission (MPT) to create a completely wireless system. The chosen communication network was based on the ZigBee standard. This document proposes a wireless communication system in the 5.8 GHz band powered by the MPT always at 5.8 GHz. As demonstrators, both a transceiver in the 5.8 GHz band and the sensor unit have been designed and built. The network integrates, in a star topology, in addition to the base station (BS), four sensor nodes each of which acquires information from one or more sensors directly connected to it. To ensure the coexistence of wireless communication and MPT, a time division mechanism has been adopted which provides two separate timeslots in which data communication or MPT is alternately allowed. The transmission of the sensor data begins after the reception of the beacon signal by the BS. When all data transmission is completed, a termination signal is sent to the BS. Upon receiving the termination signal from the BS, the MPT system is activated (see Figure 6).

The ZigBee transceiver in the 2.4 GHz band BS is used to generate signals for both wireless communications and MPT. A mixer, amplifier and switch are integrated in the 5.8 GHz front end. The switch is operated by a microcontroller in the 2.4 GHz transceiver. The battery in the sensor node is charged by the MPT from the BS wirelessly. The rectennas inside the sensor nodes are directly connected to the battery charging controller. The 2.4 GHz transceiver operates on power received from the MPT system.

The results of the experimentation led to an output direct current (DC) power that ranges from 1.4 mW to 8.6 mW depending on the position of the sensor nodes. Positioning or direction of the rectenna heavily impacts the DC power output from the rectifier due to the strong multipath. For any of the positions analyzed, the Packet Error Rate was always <1%. The conclusion of the authors was that the proposed system can be used for the considered application [147].

In the publication referred to in [148], the design and implementation of a telemetry subsystem for WSN within the Vehicle Equipment Bay (VEB) of ARIANE 5 is described. The work was developed within the Reliable Sensor Network (RSN) project of the ESA Program “Future Launchers Preparatory Program” (FLPP).

The Multi-Layer Insulation (MLI) that covers part of the internal part of the VEB and the stringent requirements on electromagnetic interference inside the launcher had the authors prefer infrared data communication over classic RF communication. To realize the various subsystems, commercial components are integrated with space-standard electronics.

The telemetry subsystem is developed as part of the RSN which consists of an Avionic Network Gateway, a Data Concentrator, an Infrared Access Point, an Infrared Sensor Network, a UWB Access Point, a UWB Sensor Network, some Smart Sensors and some wired analog sensors, as shown in Figure 7a.

The sensor node architecture consists of three main parts Figure 7b. The sensitive part consists of a low-power microcontroller connected to the “smart”-type digital sensors. The transmission part is based on a custom-designed ASIC, an infrared transceiver and a 6 V solar cell for Visible Light Communication (VLC) as well as energy harvesting. The power management part is equipped with a 3.7 V/150 mAh lithium battery charged by a solar cell. The solar cell is oriented to receive incoming light which provides both the energy to charge the battery and information transfer to initiate telemetry measurement at the sensor node [148].

The measurement results show that the VLC Access Point, not shown in Figure 7a, is able to supply power and send commands to activate the sensor node. After receiving the commands, the sensor node is able to complete the measurement sequences and send the measurements to the access point via infrared communication [148].

In [149], various considerations are reported on the application of WSNs both to safety-critical and non-safety-critical functions, on aeronautical aircraft. The most interesting part of the work is the one that refers to the safety-critical control functions. As an example of this type of function, the engine control system (Full Authority Digital Engine Control, FADEC) is mentioned, for which a gradual migration to a wireless system is suggested, in which the first step consists of an architectural change from the usual centralized control system to a Distributed Engine Control (DEC) system based on Smart Sensors (SS) and Smart Actuators (SA) while still maintaining wired communications. The subsequent change in technology towards wireless networks imposes modifications of the control algorithms that take into account the peculiarities introduced by the use of these types of networks: delays and loss of data packets. From these considerations, it is suggested to identify/define MAC protocols that are not only energy efficient but also optimized to provide high QoS in terms of delays, bandwidth usage and data loss due to collisions.

In [150], the reference application concerns the network of sensors for monitoring the launch operations of a Heavy-Lift Launch Vehicle (HLV). The authors of this work propose a wireless solution that improves packet transfer below an acceptable end-to-end delay threshold, during all phases of launch operations. The network is based on the physical layer of the IEEE 802.15.4 standard in the 2.4 GHz frequency band which, previously tested in the HLV environment, was found to be suitable for operations in a confined environment. The proprietary protocol HMC-MAC (Hybrid Multi-Channel Medium Access Control) which uses TDMA for programmed access of the nodes and CSMA/CA with Frequency Division Multiple Access (FDMA) for “simultaneous” data exchange [151] has been added at thus physical layer. The sink node, intended as the recipient node of all the data generated in the network, is equipped with three radio interfaces which work on three orthogonal channels. This enables the sink node to increase its reception capacity and receive data on three interfaces simultaneously. The channels used by the sink node can also be used by other nodes in the network; the entire sensor network will therefore use three channels. This enables many sensor networks to be deployed in the same physical space using different channels for each network. We recall that the physical layer of IEEE 802.15.4 enables the use of 16 orthogonal channels in the 2.4 GHz frequency band [150].

A typical wireless sensor network implemented in an HLV consists of 32 sensor nodes and must have three modes of operation for each node in the network: the Low-Rate (LR) mode, the High-Rate (HR) mode, and the Very High-Rate (VHR) mode. The analyses carried out were exclusively based on simulations [150].

The “delivery ratio” is the ratio between the packets successfully received by the sink node and the total number of packets sent. Based on the results obtained from the simulations, the proposed solution looks promising as it provides a delivery ratio of more than 99% for the entire network in more than 200 simulations. The average delivery ratio is 99.79% [150].

For what concerns the aspect of the delays introduced by the network, it must be highlighted that the application requires that all data samples must be received by the sink node at most 500 ms after the generation of the data in each node of the network. The simulation results were evaluated against a threshold of 400 ms, in order to have a margin of safety. The delay was then calculated as the time between the creation of the data and its reception from the sink node. The result of the simulations was that the average delay for all iterations is well under 400 ms. The maximum delay obtained for the 200 iterations for the VHR and HR nodes are all less than 400 ms. For LR nodes, 0.085% of sent packets are received with a delay greater than the 400 ms threshold [150].

In the study in [152], performed by some of the same authors who conducted the studies in [150,151], an examination of the constraints imposed by the type of application (the structural health monitoring) and by the type of environment (the interior of an aircraft or a launcher) is presented. The characteristics of the proprietary solution emerged and were proposed in the wider SAHARA project in which aircraft maintainers and end users defined the requirements for a WSN.

The solution that should on the one hand minimize delays in the end-to-end transmission of packets and guarantee data delivery to the sink node and, on the other hand, keep the necessary energy low, should integrate a physical layer compliant with the IEEE 802.15.4 standard. The MAC layer provides scheduled, and therefore collision-free, media access by combining time slots and multi-channel. The minimum number of slots required for optimized data collection is defined through theoretical evaluations. Centralized scheduling built on the basis of the MODESA (Multichannel Optimized DElay time Slot Assignment) algorithm is close to optimal. The SAHARA solution is also self-adaptive to topology and traffic changes. The feasibility of this solution was demonstrated through the implementation of simple testbeds [152].

The publication cited in [153] presents a concept for an application in which a multi-camera system, mounted on a reusable launcher, is based on low-power IR-UWB (Impulse-Radio Ultra-Wide Bandwidth)-compliant sensor nodes. Thanks to a MAC layer based on the IEEE 802.15.4 standard but suitably modified, the system is able to provide an update rate of multiple frames per second where traditional sensor network systems would take half a minute to transmit a single frame.

The system is used not only to collect video images, but also to collect data from environmental sensors within the nodes associated with each camera as well as to evaluate the performance of the RF link during the different phases of flight. The network consists of a coordinator node, which is located in the central avionics compartment connected to an antenna mounted in an external channel. The conduit is transparent to radio frequencies and enables a link to be established with each of the external camera-nodes.

The basis of the implemented network stack is built on an IR-UWB PHY compliant with the IEEE 802.15.4a amendment of the standard which was introduced to specify alternative PHY layers of which IR-UWB was chosen.

The IR-UWB transceivers used for this work can operate on multiple channels in the 3.5 GHz to 6.5 GHz range. Common narrowband technologies such as Wi-Fi, Bluetooth, or traditional 802.15.4 PHYs cause interference with other operating systems in the same frequency spectrum (e.g., TMTC in S-band). IR-UWB generates very short pulses (<2 ns) to transmit data. This short pulse duration causes the spectrum to extend to approx. 500–1000 MHz using the same output power, which leads to very low PSD. Due to the low signal level across the entire frequency spectrum, UWB can easily coexist with other RF applications operating in the same frequency spectrum. The pulse duration also enables the UWB to be nearly immune to the multipath fading effects experienced within the highly reflective metallic spaces of a spacecraft structure. Compared to other PHYs available for WSN, such as the classic 802.15.4, WirelessHART or ISA100.11a, it provides much higher data rates (up to 27.1 Mbps).

The robust physical layer transmission scheme of UWB is combined with a modified version of the LLDN MAC layer specification (see Section 3.1.2). In the proposed proprietary protocol stack, called inspaWSN, suitable for low-power microcontrollers, the changes include the network management to enable protocol compatibility with the underlying UWB PHY. The modified version also provides high data rates without sacrificing the low-latency or deterministic behavior that enables camera nodes to transmit high-data-rate video.

In [154], the authors suggest the use of “motes” for WSN applications on mini, micro and nano satellites. Motes are wireless microsensors that integrate a low-power microcontroller, a RF transceiver, and a power supply with one or more sensors attached or embedded. They often use 8 bit microcontrollers and have a few kilobytes of onboard flash memory to store the program used by the mote itself.

Several industries use motes to monitor automotive subsystems, control lighting, and monitor motion in security systems. Such sensors can form a mesh or point-to-point networks. The example shown in the above work is the Crossbow MICA2DOT mote family [155]. Such modes are suggested for both intra-satellite and inter-satellite communications. For the former, the suggested protocol is ZigBee.

A similar mote, also from Crossbow, was integrated into the payload of the sounding rocket launched on 8 June 2006 by NASA Wallops [156] which was the first step towards replacing wired data interfaces with their corresponding wireless counterparts for low-cost space access. The sounding rocket experiment was designed to achieve two objectives: data acquisition from the wireless sensor network in the embarked payload and Radio Frequency environmental characterization in the WPAN frequency domain.

Interest in motes was also explicitly declared by ESA in the summary of the Workshop held in 2006 on “Wireless for Spacecraft application” [157].

In [158], a possible use of a WSN in the ISS (International Space Station) is examined. Assuming that the application is inside the pressurized modules, a maximum range of 50 m × 60 m has been considered. Also considering a small number of base stations, the network should support a multi-hop network topology that enables forwarding of data from sensor nodes that have no direct connection to a base station just as supported by IEEE 802.15.4-based systems. Alternatively, the hypothesis of using an infrared communication system has also been evaluated. Downstream of the trade-off, the one that makes use of radiofrequency signals has emerged as a viable solution. The experimentation in the ISS that followed in early 2015 was very encouraging. The evaluation of the data showed that although there was a harsh environment, the RF communication proved to be extremely stable. Obviously, several repetitions of data packets occurred especially for those nodes shielded by metal objects, but packet losses were almost absent. Furthermore, the ability of the system to automatically establish a multi-hop network was not needed as each of the nodes had a direct connection to the base station. Using ambient light as a power source for the sensors without battery power surprisingly led to a better-than-expected situation.

In [159], various examples of platforms for the implementation of sensor nodes are reported.

The work described in [160] presents the flight testing of a structural health system installed on a Sikorsky MH-60S helicopter in which the sensors are integrated partly via cable and partly wireless. The system collects data from a wide variety of sensor types including strain gauges, load cells, torque sensors, thermocouples, accelerometers, magnetometers and angular rate sensors. The IEEE 802.15.4 standard with PHY supporting DSSS in the 2.4 GHz band was chosen as the wireless network. The article defines the general architecture as well as the commercial components chosen for its implementation.

6. Preliminary Investigation on Low-Power Sensor Nodes

One of the reasons supporting the replacement of wired sensors with wireless sensors is the flexibility in introducing or moving sensor nodes with minimal impact on the AIT engineering activities. When little physical interconnections are required, higher flexibility is guaranteed. Section 2 provides information on wireless communication protocols including radiated powers. In Section 3, the methods for the transfer of wireless power have been highlighted with the aim of recharging the accumulators possibly connected to the sensor nodes. It is clear that when WPT methods are more applicable, less energy demand by the sensor nodes is required. In fact, the low consumption of the nodes will slightly reduce the charge of the battery which can be recharged more easily even with low-power transfers.

Although the contents of this section are not related to wireless systems, they can give an idea of the existence of components, designed in the context of IoT applications, which are characterized by particularly low current absorption and which therefore potentially can be eligible also for the application in question.

The scope of sensors is extremely broad and the related study of the state of the art is outside the domain of this paper which focuses on wireless technologies. The sensors necessary for a certain type of measurement are characterized first of all by the physical quantity to be measured, by the range that this quantity can cover and by the application of the measurement which determines the acceptable measurement uncertainty. The sensor technology typically derives from these parameters and therefore the electrical characteristics of the transducer and any signal conditioner. From what has been said, it is clear that in order to delimit the field of action, a study of the state of the art cannot ignore all these characteristics which shall be defined in the system early design phase. In this context, only a few examples will be provided having oriented the choice on temperature, pressure and vibration transducers.

The prerequisite therefore is that the design of the sensor node includes sensors with the lowest possible power consumption. Sensors based on Micro-Electro Mechanical Systems (MEMS) technology can meet this requirement through the combination of advanced mechanical design and high functional density. Two examples are the Bosch-Sensortec sensors BME280 and BMA400. The BME280 environmental sensor combines pressure, temperature and humidity sensors in an all-in-one device with low energy consumption [161]. The BMA400, on the other hand, is a three-axis accelerometer with extremely low consumption while maintaining good performance [162]. By combining such devices, it is possible to develop an energy-efficient multi-sensor platform.

To meet the requirements of data processing and radio subsystems, ON Semiconductor (ONSEMI) has brought together a combination of ultra-low-power technologies in its System-in-Package (SiP) RSL10 [163]. The device includes a wireless SoC, integrated antenna, integrated power management, and all necessary passive components. The power consumption of the RSL10 is extremely low, only 62.5 nW in the deep sleep mode and 7 mW in the receive mode. The SiP device operates on a 1.1 V supply voltage and has onboard Flash and RAM; it also supports firmware updates (Firmware Over The Air, FOTA) and is certified according to worldwide standards, including CE/EU and FCC/US. ON Semiconductor has also combined its RSL10-SiP with BME280 and BMA400 low-power sensors and NCT203 digital temperature sensor to form a solar cell multi-sensor platform [164]. Source code, circuit diagrams and Gerber files are provided by the vendor so they can be adapted to the specific application.

A battery needs protection against overcharging and deep discharge. This increases the demands on the charger and requires the use of components such as voltage regulators, integrated circuits and additional external components. A capacitor with an adequate voltage rating does not require charging circuits or protective components. Therefore, reliable regulation of the output voltage is always required. The SiP platform of the RSL10 sensor features a 47 μF storage capacitor. The voltage is regulated by an ON Semiconductor NCP170, a simple Low Drop Out (LDO) linear regulator with an extremely low quiescent current value that minimizes power losses.

Optimizing microcontroller units (MCUs) for low-power applications such as wireless sensor nodes is all about maximizing power management effectiveness. To minimize power consumption, low-power MCUs typically operate at frequencies below 50 MHz, as opposed to hundreds of MHz or even GHz for conventional MCUs. These power-optimized MCUs also use low-power peripherals; they can have complex sleep modes, complex implementations of multi-protocol wireless communications and specialized peripherals such as wake-up receivers and sensor controllers, which are not found in their high-performance, less power-drain sensitive cousins [165]. They are often packaged in smaller formats with fewer pins. For example, a recent 32 bit MCU optimized for IoT applications such as wearables, medical devices, sensor nodes, and industrial automation operates at 48 MHz and is offered in a 16-pin Wafer Level Chip Scale Package (WLCSP) measuring 1.87 square mm and 0.4 mm thick [166]. Power-optimized 32 bit MCUs are available that consume less than 200 uA/MHz in the active mode with standby currents of less than 400 nA in the sleep mode.

In addition to the specific absorption of the sensor node, a further parameter on which it is possible to act to contain consumption is the duty cycle, i.e., the ratio between the time in which the sensor node is expected to be active and operating, and the total time. The smaller this parameter is compared to the unit, the lower the average consumption will be.

The power management functions in the low-power MCUs and associated wireless transceivers are optimized to provide maximum battery life given the large and rapid changes in power consumption when transitioning from sleep to active modes. A key to minimizing power consumption in these devices is maximizing the time spent in the sleep mode. The MCU can quickly wake up and perform all necessary functions with an equally rapid return to the sleep mode, minimizing the duration of peak power consumption, minimizing the overall power consumption during the power cycle of the overall wireless node. Optimizing power consumption in the sleep mode is therefore critical to minimize power consumption in wireless sensor nodes. Also, since the Real-Time Clock (RTC) is often the only subsystem that stays on during the sleep mode, optimizing RTC power consumption is a key aspect. In MCUs designed for use in wireless sensor nodes, the RTC typically consumes a few hundred nanoamperes [165]. In addition to minimizing the power consumption of the RTC, it is essential to correctly manage the wake-up function, sensor polling and subsequent data transmission activities.

Optimizing the wireless communication subsystem is another important element. If the primary receiver is not completely turned off during the sleep mode, it can consume a lot of power and potentially increase latency. The use of a separate wake up receiver (Wake Up Receiver, WuRx), optimized for extremely low-power consumption, can provide an alternative communication architecture [166]. A properly implemented WuRx can support always-on listening functionality while consuming only a few µW. The WuRx is used in addition to the main radio. Once the WuRx receives a wake-up request, it wakes up the MCU, which in turn wakes up peripherals (such as ADCs) and the main radio (see Figure 8).

Adding a sensor controller performs a similar function for sensor measurements to what a WuRx performs for wireless communications. While the primary MCU is typically a 32 bit device, a sensor controller is a low-power 16 bit core that is optimized for very low power and operates independently of the primary MCU. Just as a WuRx enables the main radio to stay in the sleep mode for as long as possible, the sensor controller enables the main MCU to stay idle for longer, only waking up to perform compute-intensive tasks.

A sensor controller typically operates in an auxiliary clock and power domain, separate from the main MCU, and is designed to implement analog and digital sensor polling. Sensor controllers can efficiently implement simple tasks that may need to be performed at higher duty cycles than communications or other energy-intensive functions. Such an architecture is implemented in the Texas Instruments CC13x2 and CC26x2 devices in [167,168].

In addition to maximizing the sleep time, it is essential to minimize the current draw in this mode. Beyond the hardware solutions which provide the creation of specific chips, there may also be protocol solutions. In the work [169] a method has been proposed to reduce the energy consumption according to the use of the specific protocol by introducing a “fine-grained” power mode in the single WSN node (fine-grain power management, FGPM). The conventional sensor system has three types of power modes: sleep, idle and run. The sleep mode was divided into three further states: a deep sleep mode (state 0), a medium-idle state of the sensor (State 1), and a medium-idle state of the wake-up receiver (State 2). The proposal is therefore that the WSN platform has five power modes, including idle and run. Even in the sleep mode, the power consumption is very different depending on the state of the WSN. For example, the sensor medium-idle mode consumes eight times more power than the receiver medium-idle state. Power mode scheduling can be managed at protocol level by using a frame bit in the data packet header. The proposed FGPM therefore fine-tunes the state of the node in the sleep mode and manages the delivery of energy savings of 74.2% compared to the conventional approach. This can be seen as a significant contribution to battery savings since the sensor nodes are idle in the sleep mode most of the time. However, when the events occur consecutively without a sleep time, the power reduction is less than 2%. Consequently, the proposed method can be expected to save energy more effectively in a WSN with a low probability of events or a small number of events.

7. Conclusions

This paper has examined the main technologies available to completely replace wired systems with wireless ones in “space” platforms considering the launchers as a case study.

The first topic addressed is the wireless communications networks. Specifically, with reference to the coverage range, the standards relating to various families of networks were examined, focusing above all on those most applicable to the context under investigation (WBAN, WPAN and WLAN). For each family, the standards considered applicable for intra-vehicular communications in the space environment were selected according to the documentation prepared by the CCSDS. Other standards used for industrial and commercial fields have also been added. For each standard, several features have been described: the operating characteristics of the protocol stack layers defined by the standard itself; where applicable, some full-stack implementations based on the standard or otherwise derived from it; qualitative and quantitative evaluations of some parameters of interest in the case of the launcher application, such as power consumption, latency, supported data rate, coverage range, network scalability and market availability of components.

The comparative evaluation carried out showed that, excluding IEEE 802.11 (with the exception of the 802.11ah version), all the standards considered are natively designed for low-power applications and therefore suitable for low energy consumption applications. They are all characterized by fair (theoretical number of nodes that can be supported greater than a hundred units, except for IEEE 802.15.6) or good (theoretical number of nodes that can be supported greater than a thousand units) scalability characteristics. As far as the coverage range is concerned, the differentiation in the performance provided is intrinsically linked to the family it belongs to (WBAN, WPAN or WLAN). With reference to latency, on the other hand, the best performances are provided by the standards (i) supporting techniques which provide the network with deterministic characteristics, such as TDMA-type access methods (for example, IEEE 82.15.3 and IEEE 802.15.4) or based on polling (IEEE 802.15.6), or (ii) characterized by MAC functionality and/or overall performance (IEEE 802.11ah/ax/be) capable of lowering latency. In any case, the performance in terms of latency worsens as the number of component nodes increases, so a trade-off between latency and network size should be made. Where necessary, the simultaneous use of two (or more) networks operating at different frequencies could be envisaged (thanks to the numerous supported bands of the standards examined). Another important parameter is the supported data rate: low data rates (less than 250 kbps) enable the use of standards such as IEEE 802.15.4 and Bluetooth Low Energy (the latter can be used, depending on the version, for data rates up to 2 Mbps), while high data rates (greater than 10 Mbps) necessarily push towards the IEEE 802.11 or IEEE 802.15.3 standards (or in any case towards standards that define at least one physical layer with a high data rate compatible with the application requirements). Finally, no less important is the commercial availability of components: for the most widespread and not too recent standards, many devices are available to be used for the implementation of the related network, while in other cases the availability of COTS products is scarce or even absent. In this regard, the document includes an overview of the availability of COTS devices for each examined standard. Bearing in mind the above comparison and considering the typical values for the parameters characterizing wireless sensor networks in launchers, 802.11ah is the suggested technology, with ISA100.11a as suitable alternative for data rates less than 250 kbps and 802.11ax as mandatory choice for data rates on the order of hundreds of Mbps or more.

For what concerns the wireless power transfer, various methods currently under study have been identified to create effective and efficient systems. The world of research is very active in the field of WPTs oriented both to domestic and mobile applications and for application on electric vehicles. However, the interest of research does not imply that all the methodologies have reached a sufficient TRL able to be used in practical applications. Even in terms of available standards, which constitute the way for the interoperability of devices from different manufacturers, the existing panorama is rather limited. The analysis shows that there are few consolidated standards. For many WPT methods there are no reference standards and for others the standards are in the process of being settled.

An overview of the components currently on the market that can be integrated into custom products to create WPT systems has also been reported. Even in this case, the devices available on the market enable the implementation of few standards. In particular, the methods that can be implemented in practice are those IPT-based, using the Qi standard, and the RF-based ones. In the other cases, the systems offered on the market are interesting “on paper”, but the available information about them on websites is rather limited.

In summary, in the current state of available technologies, IPT systems can be used to transfer higher power but, being characterized by short-range transfers, they are applicable only in cases where the power access point is close to the object to be powered otherwise cables are required for power transfer between them, nullifying the wireless technique. Long-range systems, on the other hand, have more flexible application but they only provide small power transfers and, consequently, they are applicable only to nodes that operate at very low power.

To give information on some reference applications (no information was found regarding specific applications related to wireless system for launchers), a synthesis of the experiences in the aerospace field of wireless system demonstrators was reported. From such experiences, great interest is demonstrated on the subject, but there are still few applications. Those are mainly limited to demonstration systems or, at most, to non-critical functions or backup of wired systems. Since the wireless power transfer methods are more applicable, a brief investigation on architectures and components to implement low-power sensor nodes is also included in this study.

In conclusion, this work can act as a “toolbox” for the designer who is preparing to design a wireless system for applications related to launchers, keeping in mind that the best solution shall, most likely, be defined on a case-by-case basis, depending on the specific application requirements. Therefore, the given contribution can be extended to more general intra-vehicular space applications.

Author Contributions

Conceptualization and methodology, F.F. and V.U.C.; introduction, F.F. and V.U.C.; wireless systems for communications, V.U.C.; wireless technologies to transfer power, F.F.; applications in the aerospace field, F.F.; investigations on low-power sensor nodes, F.F.; writing—original draft preparation, review and editing, F.F. and V.U.C.; supervision F.F. and H.M.R.G.; project administration H.M.R.G.; supervision, review and program management, M.A.; supervision and program management, E.C. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

The authors would like to thank Tanya Scalia for her precious and helpful advice and comments on this paper.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Figures and Tables

Figure 1. Reference architecture for a launcher sensor network.

Figure 2. Standards-based proximity communications—device data rate vs. range [30].

Figure 3. Standards-based proximity communications—power consumption [30].

Figure 4. Standards-based proximity communications—criticality vs. range [30].

Figure 5. Structure of a “coupled” wireless power transfer system [96].

Figure 6. System block diagram for wireless communication in the 5.8 GHz band and 5.8 GHz MPT: (a) in the base station and (b) in the sensor node.

Figure 7. (a) Telemetry subsystems that are part of the RSN within the VEB. (b) Sensor node architecture [148].

Figure 8. Block diagram of a typical wireless sensor node with WuRx [166].

Table 1

Parameters characterizing wireless sensor networks in launchers.

Network Feature	Value
Range	Tens of meters
Data rate	Medium (above 250 kbps but less than 10 Mb/s)
Amount of data	Typically low
Number of nodes	Typically high
Availability	High
Criticality	Low

Table 2

Comparison of different versions of Bluetooth.

Feature	Bluetooth Classic	BLE 4.x	Bluetooth 5
Band (MHz)	2400 ÷ 2483.5	2400 ÷ 2483.5	2400 ÷ 2483.5
Range	Up to 100 m	Up to 100 m outdoor Up to 20 m indoor	Up to 200 m outdoor Up to 40 m indoor
Medium access technique	Frequency hopping	Frequency hopping	Frequency hopping
Nominal data rate (Mbps)	1–3	1	2
Latency (ms)	<100	<6	<3
Network topology	Piconet, scatternet	Star-bus	Star-bus, mesh
Multi-hop	Scatternet	Not supported	Not supported
Nodes	7	Unlimited	Unlimited
Message size (bytes)	Up to 358	31	255

Table 3

Comparison of data rates supported by Bluetooth Low Energy.

Feature	BLE 4.3	Bluetooth 5	Bluetooth 5Coded (S = 2)	Bluetooth 5Coded (S = 8)
Connection Data Rate	1 Mbps	2 Mbps	1 Mbps	2 Mbps
Protocol Data Rate (FEC excluded)	1 Mbps	2 Mbps	500 kbps	125 kbps
Data Throughput	800 kbps	1400 kbps	380 kbp	109 kbps
Error Correction	None	None	FEC	FEC

Table 4

Comparison of WirelessHART, ISA100.11a and WIA-PA.

Parameter	WirelessHART	ISA100.11a	WIA-PA
Band (+)	ISM @ 2.4 GHz	ISM @ 2.4 GHz	ISM @ 2.4 GHz
Bandwidth/Channels (+)	15 channels (*) 5 MHz spaced	16 channels 5 MHz spaced	16 channels 5 MHz spaced
Transmission technique (+)	DSSS	DSSS	DSSS
Modulation (+)	O-QPSK	O-QPSK	O-QPSK
MAC	TDMA/CSMA, slotted hopping [18]	TDMA/CSMA slotted/slow/hybrid hopping [18], blacklisting [11]	TSMA/CSMAslotted/adaptive hopping/adaptive frequency switching [18]
Reliability/Security (÷)	ARQ, 32 bit MIC, AES-128-CCM [11] (÷)	ARQ, 32 to 128 bit MIC, AES-128-CCM [11] (÷)	AES-128-CCM (÷)
Topology	star/mesh [12]	star/mesh [12]	star + mesh [12]
Nodes per network ($)	30,000/hundreds per AP [11]	unlimited/thousands per GW [11]	unlimited (++)
Data rate (+)	<250 kbps	<250 kbps	<250 kbps
Range	<1.5 km [11], up to 225 m for single hop [11]	<1.5 km [11], up to 100 m for single hop [11]	Not available(presumably the same as for WirelessHART/ISA100.11a)
Transmitted power	1–100 mW (**)	1–100 mW (**)	1–100 mW (**)
Power consumption	low [35]	low [35]	low [35]
Sleep mode	supported [36,37]	supported [36,38]	supported [18]
Latency	low (|)	low (|)	low (#)
Commercial availability	wide(only supports HART protocol)	wide	used only in China

(+) Physical layer parameters are the same for all the three standards because they use the same PHY defined by 802.15.4 [18]. (*) Channel 26 in the ISM band @ 2.4 GHz is not supported by [39]. (÷) AES-128-CCM is directly supported by 802.15.4 [18]. Many chips compliant with 802.15.4 are provided with a hardware component implementing AES-128-CCM [18]. ($) The number of nodes also depends on the supported addressing range (see Table 1 of [36]). (++) The value indicates that the protocol uses up to 64 bit for the addressing range [36]. (**) The indicated power level is valid for ZigBee [40]. The same level is also assumed for WirelessHART, ISA100.11a and WIA-PA because they have a similar physical layer (i.e., compliant with 802.15.4). (|) For the examined standards, latency is dependent on the number of nodes of the network. The “low” value is valid for networks with a limited number of nodes. If the number of nodes increases, the performance in terms of latency worsens [11]. (#) Compared to the WirelessHART and ISA100.11a standards, WIA-PA has slightly lower performance in terms of latency determinism for the message transmission [18].

Table 5

Comparison of ZigBee, 802.15.4e TSCH and 802.15.4g TSCH.

Parameter	ZigBee	802.15.4e TSCH	802.15.4g TSCH
Band	ISM @ 2.4 GHz, 868 MHz (Europe), 915 MHz (North America) [18]	banda ISM @ 2.4 GHz [11]	sub-GHz without license [11]
Bandwidth/Channels	5 MHz/2 MHz/600 kHz16 channels @ 2.4 MHz10 channels @ 915 MHz 1 channel @ 868 MHZ [18]	16 channels 5 MHz spaced (+)	200 kHz–1.25 MHz [11]
Transmission technique	DSSS [3]	DSSS (+)	DSSS, OFDM [15]
Modulation	BPSK, ASK, O-QPSK [3]	O-QPSK (+)	FSK, O-QPSK, BPSK/QPSK/16QAM [15]
MAC	Slotted e UnslottedCSMA [18]	TSCH (TDMA/CSMA)	TSCH (TDMA/CSMA)
Reliability/Security	AES-128-CCM (÷)	AES-128-CCM (÷)	AES-128-CCM (÷)
Topology	star/tree/mesh [18]	star/tree/mesh [11]	start/p2p/mesh [11]
Nodes per network	65,535 (++)	unlimited [11]	6000 [11]
Data rate	20–250 kbps [18]	250 kbps [11]	6.25–800 kbps [15]
Range	10–100 m [40]	<200 m [11]	1 km [11]
Transmitted power	1–100 mW [40]	1–100 mW (*)	10 mW–1 W (*)
Power consumption	low [35]	low (|)	low (|)
Sleep mode	supported [18]	supported (·)	supported (·)
Latency	medium (**)	low (#)	low (#)
Commercial availability	wide	scarce	scarce

(+) The same 802.15.4 PHY used for WirelessHART, ISA100.11a and WIA-PA is considered [18]. (÷) AES-128-CCM is directly supported by 802.15.4 [18]. Many chips compliant with 802.15.4 are provided with a hardware component implementing AES-128-CCM [18]. (++) The value is theoretical and depends on the addressing capacity. In practice, it is possible to connect fewer nodes [31]. There is also a more extensive addressing range (64 bit) which involves the use of the “stochastic addressing” mode [36]. (*) The indicated power level is valid for ZigBee [40]. The same level is also assumed for 802.15.4e because it has a similar physical layer (i.e., compliant with 802.15.4). For 802.15.4g, the same values defined for 802.11ah can be considered because both the standards operate in the sub-GHz band. (|) TSCH, WirelessHART and ISA100.11 use a similar MAC; therefore, a similar power consumption can be assumed. (·) TSCH enables nodes to go into the sleep mode when they do not need to communicate. (**) The value refers to a qualitative assessment obtained by comparison with the standards reported in Table 4 and with the protocols based on TSCH. (#) The expected latency is low. However, as in the case of WirelessHART and ISA100.11a, as the number of nodes increases, the performance in terms of latency decreases [11].

Table 6

Comparison of Bluetooth Low Energy and IEEE 802.11ah.

Parameter	Bluetooth Low Energy	IEEE 802.11ah
Band	ISM @ 2.4 GHz [10]	sub-GHz without license [32]
Bandwidth/Channels	2 MHz per channel/40 channels [10]	1/2/4/8/16 MHz [40]
Transmission technique	FHSS [11]	OFDM [40]
Modulation	GFSK [41]	BPSK/QPSK/16-64-256QAM [11]
MAC	TDMA [11], adaptive frequency hopping [10]	HCF (EDCA/DCF) [11]
Reliability/Security	FEC, ARQ, AES-CCM, 24 bit CRC, 32 bit MIC [11]	FEC, WPA1 (MIC), WPA2 (AES-128-CCM), WPA3 (BIP-GMAC-256) [11]
Topology	p2p/star/mesh [11]	star/tree [11]
Nodes per network	unlimited [9]	8192 [11]
Data rate	2 Mbps (Bluetooth 5)125/500 kbps (Bluetooth 5 Coded)1 Mbps (BLE Vers. 4.x) [9]	150 kbps–86.67 Mbps(theoretical maximum of 347 Mbps in extreme configurations) [40]
Range	up to 200 m outdoor (Bluetooth 5), up to 40 m indoor (Bluetooth 5), higher distances in the Bluetooth 5 Coded version [9]	100 m–1 km (typical) [40]
Transmitted power	0.01–100 mW [41]	10 mW–1 W [40]
Power consumption	low (more efficient than ZigBee) [10]	low [11] (*)support of power saving based on RAW, TWT, TIM, DTIM [42]
Sleep mode	supported [43,44]	supported [32] [42]
Latency	low [11] (+)	low [11] (#)
Commercial availability	Wide	scarce

(*) Based on the simulations reported in [11], IEEE 802.11ah is more efficient than 802.15.4g TSCH. (+) Latency depends on the configuration of some parameters required by the standard (for example, a “advertising interval” and a “connection interval”) [11]. It increases in the case of a mesh-type topology [11]. (#) Latency depends on the number of nodes connected to the network. If a lower latency is required, a lower number of nodes can be supported [11].

Table 7

Comparison of IEEE 802.11n, 802.11ac, 802.11ax and 802.11be.

Parameter	IEEE 802.11n	IEEE 802.11ac	IEEE 802.11ax	IEEE 802.11be
Band	2.4 GHz and 5 GHz [30]	5 GHz [30]	2.4 GHz and 5 GHz,designed to operate in 2–7 GHz [30]	2.4, 5 and 6 GHz, designed to operate in 1–7.25 GHz [31]
Bandwidth/Channels	20/40 MHz [45]	20/40/80/160 MHz [45]	20/40/80/160 MHz [12]	20/40/80/160/320 MHz [34]
Transmission technique	MIMO [30],OFDM [12]	MIMO [30],OFDM [12]	MIMO [30],OFDM [12]	MIMO,OFDM [34]
Modulation	BPSK/QPSK/16-64QAM	up to 256QAM [12]	up to 1024-QAM [12,30]	up to 4096-QAM [31,34]
MAC	EDCA, HCCA [42]	TDMA, CSMA [12]EDCA [42]	OFDMA, CSMA [12]	OFDMA, CSMA (-)
Reliability/Security	Convolutional Codes, LPDC, STBC, [45]WPA1, WPA2	Convolutional Codes, LDPC, STBC, [12]WPA1, WPA2, WPA3	Convolutional Codes, LDPC, STBC, [12]WPA1, WPA2, WPA3	Convolutional Codes, LDPC, STBC, WPA3 (/)
Topology	star (÷)	star (÷)	star (÷)	star (÷) (|)
Nodes per network	2007 [46]	2007 [46]	2007 (*)	2007 (*)
Data rate	<600 Mbps [30]	<6.9 Gbps [12]	<9.6 Gbps [30]	≤30 Gbps [31]
Range	<200 m [46]	<200 m [12]	<200 m [12]	<200 m (/)
Transmitted power	100 mW (+)	100 mW (+)	100 mW (+)	100 mW (+)
Power consumption	medium [46]~1 W (device)<10 W (AP) [30]	medium [46]~1 W (device)>10 W (AP) [30]	medium ~1 W (device)>10 W (AP) [30]	medium ~1 W (device)>10 W (AP) (/)
Sleep mode	supported [32]	supported [32]	supported [32],(support for TWT [33])	supported, (support for restricted TWT) [34]
Latency	medium/high (#)	medium/high (#)	low (**)	very low (**)
Commercial availability	wide	wide	wide (growing)	scarce or absent

(/) The same values considered for 80.11ax are shown (in this case 802.11be is seen as an extension of 802.11ax). (÷) The type indicated is the most used. However, 802.11 also supports other topologies (Independent BSS, Mesh BSS and STSL; see [1]). (|) 802.11be should support direct transmission between two non-AP stations scheduled by the AP [47]. (*) The value considered is the maximum number of stations that can be associated with an AP supported by legacy 802.11 [46]. This value is also used for 802.11ax and 802.11be. (+) The maximum EIRP limit defined by ETSI at 2.4 GHz for OFDM transmission as reported in [48]. For values related to other bands, please refer to the ETSI documentation. (#) The evaluation is based on data reported in [11]. Compared to 802.11ah, not all 802.11 versions have the possibility to set some MAC parameters in order to support low latencies (for example, the RAW parameter [11]). Further, 802.11n and 802.11ac are not suitable for mission-critical applications [30]. (**) 802.11ax are 802.11be not suitable for mission-critical applications [30]. In the case of 802.11ax, the latency is in the order of milliseconds even if it increases in the case of congested networks [34]. 802.11be should integrate the TSN (Time-Sensitive Networking) extensions, which are a set of sub-standards defined by the 802.1TSN Task group [34], thus guaranteeing even lower latencies [34]. (-) 802.11be should enable coordination of activities of multiple APs at MAC and PHY levels [31].

Table 8

Comparison of IEEE 802.15.3 and IEEE 802.15.6.

Parameter	IEEE 802.15.3 (*)	IEEE 802.15.6
Band	ISM @ 2.4 GHz [27]	ISM @ 2.4 GHz (+)
Bandwidth/Channels	2 set with 3 and 4 channels with a 15 MHz band [27]	79 channels with a 1 MHz band (-)
Transmission technique	standard (DSSS and OFMD not supported) [27]	standard (DSSS and OFMD not supported)(for NB PHY)Impulse Radio UWB (IR-UWB) and Frequency Modulation UWB (FM-UWB) (for UWB PHY) (/) [29]
Modulation	QPSK, DQPSK, 16/32/64 QAM [27]	π/M-DPSK with M $\in$ {2,4,8}, GMSK (NB PHY)—OOK, DBPSK, DQPSK for IR-UWBCP-BFSK for FM-UWB (UWB PHY) [29]
MAC	TDMA, CSMA/CA [27]	CSMA/CA, slotted ALHOA,polling [28,29]
Reliability/Security	Trellis Coded Modulation, AES-128-CCM [27]	BCH codes, AES-128-CCM [29]
Topology	piconet (ad hoc network), dependent piconet [27]	star [49] (^)
Nodes per network	243 per piconet [27]	64 [50]
Data rate	11–55 Mbps [27]	57.5–485.7 kbps (narrowband PHY)0.5–10 Mbps (UWB PHY) [28]
Range	up to 70 m [27]piconet coverage ≥ 10 m [27]	2–5 m [51]
Transmitted power	see Table 85 in [21]	0.1 mW [51]
Power consumption	low [27]	very low (·)
Sleep mode	supported [27]	supported [52]
Latency	low (#)	low [53] (**)
Commercial availability	not available	not available

(*) Data reported in the column refer to the first version (2003) of the 802.15.3 standard [21]. Later versions introduced PHYs operating in other bands (60 GHz and sub-THz), supporting much higher bit rates, as well as other features for the MAC sublayer. For further refer to the standards already referenced in Section 3.1.3. (/) Human Body Communications (HBC) PHY supported by 802.15.6 is not considered. (^) The standard also enables communications involving more than one hop for hub-to-node communication, with intermediate nodes acting as relays [49]. (+) Only the ISM band @ 2.4 GHz has been indicated, but IEEE 802.15.6 supports different PHYs operating in different bands (NB, UWB and HBC, see Section 3.1.3). For further information see [52]. (-) The values shown refer to the ISM band @ 2.4 GHz. For values relating to the other bands see [52]. (·) The standard is designed for medical and non-medical applications with low-power consumption [50]. (**) By appropriately using the access techniques allowed by the standard, in particular polling, it is possible to obtain low latencies and low-power consumption [53]. (#) 8021.15.3 standard supports a MAC with superframes supporting guaranteed time slots (GTS) assigned by the network coordinator. This mechanism enables obtaining low latency, as in the case of 802.15.4, which however increases as the number of nodes to be supported increases.

Table 9

Availability of commercial devices for the considered standards.

Standard	Commercial Availability
Bluetooth Low Energy	BLE is supported by many System on Chips (SoCs). For example, Texas Instruments CC2652R SoC [58] supports the various types of BLE described in this work and a related development board is also provided by the manufacturer (LAUNCHXL-CC26X2R1 LaunchPad development board [59]).Nordic Semiconductor nRF52840 [60] is another usable SoC (also in this case fully equipped RF modules and SoC-based development platforms are available). More generally, BLE SoCs are almost exclusively based on transceivers operating at 2.4 GHz supervised by ARM Cortex-M0, M3, M4 and M4F-type embedded processors [61]. Similar solutions are also offered by manufacturers such as Infineon/Cypress and STMicroelectronics.
ZigBee	There are many SoCs supporting ZigBee which integrate transceiver, microcontroller and large capacity flash and RAM memories. An example is NXP’s JN518x family [62].Individual transceivers (to be coupled to microcontrollers) can also be used. For example, the Microchip AT86RF232 transceiver [63] can be coupled with microcontrollers of the Microchip/Atmel AVR MCU (MicroController Unit) family [61].Similar solutions are also offered by companies such as Texas Instrument and STMicroelectronics.
WirelessHART	A possible solution that implements a network based on the WirelessHART protocol is given by the LTP5903IPC-WHRC4B3#PBF board (Analog Devices) [64], used as network manager, and by the LTP5900-WHM boards (Analog Devices) [65], used as field devices. Other devices are available in [66,67].
ISA100.11a	Solutions implementing the ISA100.11a stack, including the RF module, are produced by Centero, Control Data System (CDS) and Nexcom. For example, the VR950 Gateway Module device [68] can be used as a network manager/gateway and the VS210 development board [69] (both manufactured by CDS) as a field device. Links to ISA100.11a-based manufacturers/products can be found in [70].
WIA-PA	WIA-PA standard is adopted in China [71] and currently it has not been possible to identify COTS devices supporting this protocol (only English-language sites were consulted).
IEEE 802.15.4e	This amendment defines various operating modes for the MAC level (including TSCH, DSME and LLDN) designed for networks requiring to characteristics of determinism, low latency and network reliability. These modes ues PHYs defined in the 802.15.4. However, 802.15.4e does not define how some mechanisms envisaged for the aforementioned operating modes should be implemented (this task is left to the developer). In general, the implementation can be performed using a transceiver based on the 802.15.4 standard and a microcontroller where the implemenetd MAC operating mode runs.Below, some examples, including the used hardware, are shown.In [72], a node supporting TSCH is built using an implementation of the Contiki operating system (which in turn provides an implementation of TSCH) on the LAUNCHXL-CC2650 [73] hardware platform (by Texas Instruments).In [74], a node supporting LLDN is implemented by means of the ATMEGA256RFR2 chip [75] which combines an AVR microcontroller with a transceiver 802.15.4-compliant operating in the 2.4 GHz band. LLDN is implemented using C programming language and Atmel Studio 7.0 IDE development framework. The development is base on LwMesh (Lightweight Mesh), i.e., a stack developed by ATMEL [76] to work with transceivers and SoCs based on IEEE 802.15.4 (the stack works with AVR microcontrollers, but given its extreme portability and low resource requirements, it can run on almost any MCU), modified to be able to process the frames foreseen by LLDN.
IEEE 802.11	802.11a/b/g/n is still commercially widely supported by manufacturers (e.g., Texas Instruments [77], Microchip [78] and Ubilite [79]). 802.11ac and 802.11ax are supported by Infineon/Cypress, Broadcom and NXP (see [80,81,82,83,84]). For 802.11ah fewer solutions are currently available. Those identified can be found in [85,86].
IEEE 802.15.3	No COTS devices implementing this standard were found.
IEEE 802.15.6	No COTS devices implementing this standard were found.

Table 10

Qualitative comparison between different WPT technologies.

	Inductive Coupling	Resonant Inductive Coupling	Capacitive Coupling	Radiative Transfer	Laser
Field type	Magnetic field	Magnetic field	Electric field	Electromagnetic field	Electromagnetic field
Range	Very short (~cm)	Short (~m)	Very short (~mm/cm)	Medium/long (~m/km)	Medium/long (~m/km)
Efficiency	High	Medium	High	Low	Medium
Operating frequency	LF-band(~several hundred kHz)	HF-band(6.78 MHz, 13.56 MHz)	LF and HF bands	RF-band(2.4 GHz, 5.8 GHz)	≥THz
Advantages	High efficiency	Medium efficiency in a short range	High power transfer	Long range	Long range
Drawbacks	Very short range	Difficulties in maintaining high efficiency	Very short range	Low efficiency,Human safety	Human safety
Multicast	Absent	Present	Absent	Present	Absent
TRL	There is no evidence of applications in aerospaceTRL 9 as charging systems for mobile phones and small household appliances as well as for hobs	There is no evidence of applications in aerospaceTRL 3 ÷ 9 in the electrical vehicle sector [95]TRL 9 as charging systems for mobile phones and small appliances	There is no evidence of applications in aerospaceTRL 3 ÷ 4 in the electrical vehicle sector [95]	TRL 4 ÷ 6 in the aerospace field (see Section 4)	TRL 4 ÷ 6 in the aerospace field with the use not of lasers but of diffused light in the visible and infrared bands (see Section 4)TRL 9 in the area of space if the use of photovoltaic cells falls within this area

References

1. CCSDS 880.0-G-3 Wireless Network Communications Overview for Space Mission Operations; 3rd ed. CCSDS: Washington, DC, USA, 2017; Available online: https://public.ccsds.org/Pubs/880x0g3.pdf (accessed on 10 January 2024).

2. Huang, R.; Nie, Z.; Duan, C.; Liu, Y.; Jia, L.; Wang, L. Analysis and Comparison of the IEEE 802.15.4 and 802.15.6 Wireless Standards Based on MAC Layer. HIS 2015—Health Information Science; Yin, X.; Ho, K.; Zeng, D.; Aickelin, U.; Zhou, R.; Wang, H. Springer: Cham, Switzerland, 2015; Volume 9085, [DOI: https://dx.doi.org/10.1007/978-3-319-19156-0_2]

3. Balota, J.E.; Pattinson, C.; Kor, A.L. Wireless Personal Area Networks—A Survey of Low-Rate and Low Power Network Technologies. Proceedings of the Wireless Congress on Sustainable Technologies; Cambridge, UK, 11–14 December 2017; pp. 68-73. [DOI: https://dx.doi.org/10.6084/m9.figshare.10315448.v2]

4. ANT/ANT+ DEFINED. Available online: https://www.thisisant.com/developer/ant-plus/ant-antplus-defined/ (accessed on 12 July 2023).

5. ANT+ TECH FAQ. Available online: https://www.thisisant.com/developer/resources/tech-faq/category/10/ (accessed on 12 July 2023).

6. ANT Message Protocol and Usage, Rev 5.1. Available online: https://www.thisisant.com/resources/ant-message-protocol-and-usage/ (accessed on 10 January 2024).

7. Gomez, C.; Paradells, J. Wireless home automation networks: A survey of architectures and technologies. IEEE Commun Mag; 2010; 48, pp. 92-101. [DOI: https://dx.doi.org/10.1109/MCOM.2010.5473869]

8. Kale, V.V.; Deshmukh, A.R. Survey Paper on Z-Wave Technology. Int. J. Emerg. Technol. Innov. Res; 2020; 7, pp. 819-822. Available online: http://www.jetir.org/papers/JETIR2005428.pdf (accessed on 10 January 2024).

9. Pau, G.; Collotta, M.; Maniscalco, V. Bluetooth 5 Energy Management through a Fuzzy-PSO Solution for Mobile Devices of Internet of Things. Energies; 2017; 10, 992. [DOI: https://dx.doi.org/10.3390/en10070992]

10. Rondón, R.; Gidlund, M.; Landernäs, K. Evaluating Bluetooth Low Energy Suitability for Time-Critical Industrial IoT Applications. Int. J. Wirel. Inf. Netw.; 2017; 24, pp. 278-290. [DOI: https://dx.doi.org/10.1007/s10776-017-0357-0]

11. Seferagić, A.; Famaey, J.; De Poorter, E.; Hoebeke, J. Survey on Wireless Technology Trade-Offs for the Industrial Internet of Things. Sensors; 2020; 20, 488. [DOI: https://dx.doi.org/10.3390/s20020488] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31952214]

12. Park, P.; Di Marco, P.; Nah, J.; Fischione, C. Wireless Avionics Intra-Communications: A Survey of Benefits, Challenges, and Solutions. IEEE Internet Things J.; 2021; 8, pp. 7745-7767. [DOI: https://dx.doi.org/10.1109/JIOT.2020.3038848]

13. El Gholami, K.; Maleh, Y.; Fatani, I.F.-E. The IEEE 802.15.4 Standard in Industrial Applications: A Survey. J. Theor. Appl. Inf. Technol.; 2021; 99, pp. 1-17. Available online: http://www.jatit.org/volumes/Vol99No15/13Vol99No15.pdf (accessed on 10 January 2024).

14. Kurunathan, H.; Severino, R.; Koubaa, A.; Tovar, E. IEEE 802.15.4e in a Nutshell: Survey and Performance Evaluation. IEEE Commun. Surv. Tutor; 2018; 20, pp. 1989-2010. [DOI: https://dx.doi.org/10.1109/COMST.2018.2800898]

15. Muñoz, J.; Riou, E.; Vilajosana, X.; Muhlethaler, P.; Watteyne, T. Overview of IEEE802.15.4g OFDM and its applicability to smart building applications. Proceedings of the 2018 Wireless Days (WD); Dubai, United Arab Emirates, 3–5 April 2018; [DOI: https://dx.doi.org/10.1109/WD.2018.8361707]

16. Coppens, D.; Shahid, A.; Lemey, S.; Van Herbruggen, B.; Marshall, C.; De Poorter, E. An Overview of UWB Standards and Organizations (IEEE 802.15.4, FiRa, Apple): Interoperability Aspects and Future Research Directions. IEEE Access; 2022; 10, pp. 70219-70241. [DOI: https://dx.doi.org/10.1109/ACCESS.2022.3187410]

17. ZigBee Alliance. ZigBee Specification. Revision 22 1.0, April 2017. Available online: https://csa-iot.org/it/risorsa-per-sviluppatori/richiesta-di-download-delle-specifiche/ (accessed on 10 January 2024).

18. Wang, Q.; Jiang, J. Comparative Examination on Architecture and Protocol of Industrial Wireless Sensor Network Standards. IEEE Commun. Surv. Tutor.; 2016; 18, pp. 2197-2219. [DOI: https://dx.doi.org/10.1109/COMST.2016.2548360]

19. Das Neves Valadão, Y.; Künzel, G.; Müller, I.; Pereira, C.E. Industrial Wireless Automation: Overview and Evolution of WIA-PA. IFAC-Pap.; 2018; 51, pp. 175-180. [DOI: https://dx.doi.org/10.1016/j.ifacol.2018.06.257]

20. Thread vs. Zigbee—What’s the Difference? Texas Instruments E2E Design Support, 16 May 2018. Available online: https://e2e.ti.com/blogs_/b/process/posts/thread-vs-zigbee-what-s-the-difference (accessed on 12 July 2023).

21. IEEE Std 802.15.3-2003 Part 15.3: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for High Rate Wireless Personal Area Networks (WPANs); IEEE Computer Society: New York, NY, USA, 29 September 2003; Available online: http://magrawal.myweb.usf.edu/dcom/Ch8_802.15.3-2003.pdf (accessed on 12 July 2023).

22. Karunakar, K.; Chitneni, A. A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. Adv. Electron. Electr. Eng.; 2014; 4, pp. 655-662. [DOI: https://dx.doi.org/10.1109/IECON.2007.4460126]

23. International Standard ISO/IEC/IEEE 8802-15-3:2017(E) Information Technology—Telecommunications and Information Exchange between Systems—Local and Metropolitan Area Networks—Specific Requirements—Part 15-3: High Data Rate Wireless Multi-Media Networks; 2016; Available online: https://www.iso.org/standard/72248.html (accessed on 10 January 2024).

24. IEEE 802.15.3d-2017 IEEE Standard for High Data Rate Wireless Multi-Media Networks Amendment 2: 100 Gb/s Wireless Switched Point-to-Point Physical Layer; Available online: https://standards.ieee.org/ieee/802.15.3d/6648/ (accessed on 10 January 2024).

25. IEEE 802.15.3e-2017 IEEE Standard for High Data Rate Wireless Multi-Media Networks Amendment 1: High-Rate Close Proximity Point-to-Point Communications; Available online: https://standards.ieee.org/ieee/802.15.3e/6131/ (accessed on 10 January 2024).

26. IEEE 802.15.3f-2017 IEEE Standard for High Data Rate Wireless Multi-Media Networks Amendment 3: Extending the Physical Layer (PHY) Specification for Millimeter Wave to Operate from 57.0 GHz to 71 GHz; Available online: https://standards.ieee.org/ieee/802.15.3f/7011/ (accessed on 10 January 2024).

27. Zappaterra, L.; Sayrafian-Pour, K. Simulation Model for the IEEE 802.15.3/3b WPAN Standard. Proceedings of the OPTNETWORK 2010; Washington DC, USA, 30 August–2 September 2010; Available online: https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=906075 (accessed on 10 January 2024).

28. Kwak, K.S.; Ullah, S.; Ullah, N. An overview of IEEE 802.15.6 standard. Proceedings of the 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010); Roma, Italy, 7–10 November 2010; [DOI: https://dx.doi.org/10.1109/ISABEL.2010.5702867]

29. Ullah, S.; Mohaisen, M.; Alnuem, M.A. A Review of IEEE 802.15.6 MAC, PHY, and Security Specifications. Int. J. Distrib. Sens. Netw.; 2013; 9, 950704. [DOI: https://dx.doi.org/10.1155/2013/950704]

30. CCSDS 883.0-B-1 Spacecraft Onboard Interface Services-High Data Rate 3GPP and Wi-Fi Local Area Communications; 1st ed. CCSDS: Washington, DC, USA, 2022; Available online: https://public.ccsds.org/Pubs/883x0b1.pdf (accessed on 10 January 2024).

31. Cordeiro, C. Intel. Next-Generation Wi-Fi—Wi-Fi 7 and Beyond” July 2020. Available online: https://www.intel.com/content/dam/www/public/us/en/documents/pdf/wi-fi-7-and-beyond.pdf (accessed on 12 July 2023).

32. Sun, W.; Choi, M.; Choi, S. IEEE 802.11ah: A Long Range 802.11 WLAN at Sub 1 GHz. J. ICT Stand.; 2013; 1, pp. 83-108. [DOI: https://dx.doi.org/10.13052/jicts2245-800X.125]

33. Bankov, D.; Khorov, E.; Lyakhov, A.; Stepanova, E. Clock Drift Impact on Target Wake Time in IEEE 802.11ax/ah Networks. Proceedings of the 2018 Engineering and Telecommunication (EnT-MIPT); Moscow, Russia, 15–16 November 2018; pp. 30-34. [DOI: https://dx.doi.org/10.1109/EnT-MIPT.2018.00014]

34. Adame, T.; Carrascosa-Zamacois, M.; Bellalta, B. Time-Sensitive Networking in IEEE 802.11be: On the Way to Low-Latency WiFi 7. Sensors; 2021; 21, 4954. [DOI: https://dx.doi.org/10.3390/s21154954] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34372190]

35. Devan, P.A.M.; Hussin, F.A.; Ibrahim, R.; Bingi, K.; Khanday, F.A. A Survey on the Application of WirelessHART for Industrial Process Monitoring and Control. Sensors; 2021; 21, 4951. [DOI: https://dx.doi.org/10.3390/s21154951] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34372210]

36. Zand, P.; Chatterjea, S.; Das, K.; Havinga, P. Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead. J. Sens. Actuator Netw.; 2012; 1, pp. 123-152. [DOI: https://dx.doi.org/10.3390/jsan1020123]

37. Lhomann, G. Wireless Technology WirelessHART. Technical White Paper. Available online: http://files.pepperl-fuchs.com/selector_files/navi/productInfo/doct/tdoct1841a_eng.pdf (accessed on 12 July 2023).

38. ISA100 Wireless Compliance Institute. The Technology Behind the ISA100.11a Standard—An Exploration. Available online: https://www.scribd.com/document/512156116/The-Technology-Behind-ISA100-11a-v-3-pptx (accessed on 12 July 2023).

39. Petersen, S.; Carlsen, S. Performance evaluation of WirelessHART for factory automation. Proceedings of the 2009 IEEE Conference on Emerging Technologies & Factory Automation; Palma de Mallorca, Spain, 22–25 September 2009; pp. 1-9. [DOI: https://dx.doi.org/10.1109/ETFA.2009.5346996]

40. Kocan, E.; Domazetovic, B.; Pejanovic-Djurisic, M. Range Extension in IEEE 802.11ah Systems Through Relaying. Wirel. Pers Commun; 2017; 97, pp. 1889-1910. [DOI: https://dx.doi.org/10.1007/s11277-017-4334-9]

41. Bluetooth Core Specification Version: 5.0, 6 December 2016. Available online: https://www.bluetooth.com/specifications/specs/core-specification-5/ (accessed on 12 July 2023).

42. Šljivo, A.; Kerkhove, D.; Tian, L.; Famaey, J.; Munteanu, A.; Moerman, I.; Hoebeke, J.; De Poorter, E. Performance Evaluation of IEEE 802.11ah Networks With High-Throughput Bidirectional Traffic. Sensors; 2018; 18, 325. [DOI: https://dx.doi.org/10.3390/s18020325] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29360798]

43. Dementyev, A.; Hodges, S.; Taylor, S.; Smith, J. Power consumption analysis of Bluetooth Low Energy, ZigBee and ANT sensor nodes in a cyclic sleep scenario. Proceedings of the 2013 IEEE International Wireless Symposium (IWS); Beijing, China, 14–18 April 2013; pp. 1-4. [DOI: https://dx.doi.org/10.1109/IEEE-IWS.2013.6616827]

44. Radakichenane, H.; Riva, R. Understanding Bluetooth Low Energy. STMicroelectronics Presentation, Technology Tour 2017. Available online: https://www.st.com/content/dam/technology-tour-2017/session-1_track-3_understanding-ble.pdf (accessed on 12 July 2023).

45. Newell, D.; Davies, P.; Wade, R.; Decaux, P.; Shama, M. Comparison of Theoretical and Practical Performances with 802.11n and 802.11ac Wireless Networking. Proceedings of the 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA); Taipei, Taiwan, 27–29 March 2017; pp. 710-715. [DOI: https://dx.doi.org/10.1109/WAINA.2017.113]

46. Baños-Gonzalez, V.; Afaqui, M.S.; Lopez-Aguilera, E.; Garcia-Villegas, E. IEEE 802.11ah: A Technology to Face the IoT Challenge. Sensors; 2016; 16, 1960. [DOI: https://dx.doi.org/10.3390/s16111960] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27879688]

47. Cordeiro, C. Wi-Fi Unleashed: Wi-Fi 7, 6 GHz, and Beyond. Intel Presentation, June 2022. Available online: https://www.intel.co.uk/content/dam/www/central-libraries/us/en/documents/2022-06/wi-fi-tutorial-long.pdf (accessed on 12 March 2023).

48. ETSI EN 300 328 V1.8.1 (2012-06) Electromagnetic Compatibility and Radio Spectrum Matters (ERM); Wideband Transmission Systems; Data Transmission Equipment Operating in the 2,4 GHz ISM Band and Using Wide Band Modulation Techniques; Harmonized EN Covering the Essential Requirements of Article 3.2 of the R&TTE Directive; Available online: https://www.etsi.org/deliver/etsi_en/300300_300399/300328/01.08.01_60/en_300328v010801p.pdf (accessed on 10 January 2024).

49. Kurunathan, J.H. Study and overview on WBAN under IEEE 802.15.6. U. Porto J. Eng.; 2015; 1, pp. 11-21. [DOI: https://dx.doi.org/10.24840/2183-6493_001.001_0003]

50. Siddiqi, M.A.; Hahn, G.; Hamdioui, S.; Serdijn, W.A.; Strydis, C. Improving the Security of the IEEE 802.15.6 Standard for Medical BANs. IEEE Access; 2022; 10, pp. 62953-62975. [DOI: https://dx.doi.org/10.1109/ACCESS.2022.3181630]

51. Hayajneh, T.; Almashaqbeh, G.; Ullah, S.; Vasilakos, A.V. A survey of wireless technologies coexistence in WBAN: Analysis and open research issues. Wirel. Netw; 2014; 20, pp. 2165-2199. [DOI: https://dx.doi.org/10.1007/s11276-014-0736-8]

52. Kartsakli, E.; Lalos, A.S.; Antonopoulos, A.; Tennina, S.; Renzo, M.D.; Alonso, L.; Verikoukis, C. A Survey on M2M Systems for mHealth: A Wireless Communications Perspective. Sensors; 2014; 14, pp. 18009-18052. [DOI: https://dx.doi.org/10.3390/s141018009] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25264958]

53. Jacob, A.K.; Jacob, L. Energy Efficient MAC for QoS Traffic in Wireless Body Area Network. Int. J. Distrib. Sens. Netw.; 2015; 11, 404182. [DOI: https://dx.doi.org/10.1155/2015/404182]

54. Drobczyk, M.; Lübken, A. Wireless intra-spacecraft communication with inspaWSN protocol stack based on IR-UWB. Proceedings of the 12th IAA Symposium on Small Satellites for Earth Observation; Berlin, Germany, 6–10 May 2019; Available online: https://iaaspace.org/wp-content/uploads/iaa/Scientific%20Activity/conf/sseo2021/berlin2019proceedings.pdf (accessed on 10 January 2024).

55. CCSDS 882.0-M-1 Spacecraft Onboard Interface Systems—Low Data-Rate Wireless; 1st ed. CCSDS: Washington, DC, USA, 2013; Available online: https://public.ccsds.org/Pubs/882x0m1.pdf (accessed on 10 January 2024).

56. ITU-R M.2283-0 Technical Characteristics and Spectrum Requirements of Wireless Avionics Intra-Communications Systems to Support Their Safe Operation; December 2013; Available online: https://www.itu.int/dms_pub/itu-r/opb/rep/R-REP-M.2283-2013-PDF-E.pdf (accessed on 10 January 2024).

57. Park, P.; Chang, W. Performance Comparison of Industrial Wireless Networks for Wireless Avionics Intra-Communications. IEEE Commun. Lett.; 2017; 21, pp. 116-119. [DOI: https://dx.doi.org/10.1109/LCOMM.2016.2612188]

58. CC2652R SimpleLink™ Multiprotocol 2.4 GHz Wireless MCU. Available online: https://www.ti.com/lit/ds/symlink/cc2652r.pdf (accessed on 8 September 2023).

59. LAUNCHXL-CC26X2R, CC26x2R LaunchPad™ Development Kit for Multi-Standard SimpleLink™ Wireless MCU. Available online: https://www.ti.com/tool/LAUNCHXL-CC26X2R1 (accessed on 8 September 2023).

60. nRF52840, System on Chip, Multiprotocol Bluetooth 5.4 SoC supporting Bluetooth Low Energy, Bluetooth mesh, NFC, Thread and Zigbee. Available online: https://www.nordicsemi.com/products/nrf52840 (accessed on 8 September 2023).

61. Mannion, P. Comparing Low Power Wireless Technologies (Part 2). Digi-Key. 2017; Available online: https://www.digikey.it/it/articles/comparing-low-power-wireless-technologies-part-2 (accessed on 12 July 2023).

62. JN5189(T)/JN5188(T) IEEE 802.15.4 Low Power Wireless MCU. Available online: https://www.nxp.com/docs/en/nxp/data-sheets/JN5189.pdf (accessed on 10 January 2024).

63. Low Power, 2.4GHz Transceiver for ZigBee, IEEE 802.15.4, 6LoWPAN, RF4CE and ISM Applications, AT86RF232 PRELIMINARY. Available online: https://ww1.microchip.com/downloads/en/DeviceDoc/doc8321.pdf (accessed on 8 September 2023).

64. LTP5903-WHR, SmartMesh WirelessHART Network Manager—Wireless Embedded Network Manager. Available online: https://www.analog.com/media/en/technical-documentation/data-sheets/5903whrf.pdf (accessed on 8 September 2023).

65. LTP5900-WHM, SmartMesh WirelessHART Node—Wireless Mote Module. Available online: https://www.analog.com/media/en/technical-documentation/data-sheets/5900whmfa.pdf (accessed on 8 September 2023).

66. WirelessHART products. Available online: https://centerotech.com/products/#wirelesshart (accessed on 8 September 2023).

67. Our Products. Available online: http://www.cds.ro/products/ (accessed on 8 September 2023).

68. CDS VersaRouter 950. Available online: https://www.cds.ro/products/versarouter-950/ (accessed on 8 September 2023).

69. Development Board VS210. Available online: https://www.cds.ro/products/development-board-vs210/ (accessed on 8 September 2023).

70. Suppliers, The World’s Leading Suppliers Support ISA100 Wireless. Available online: https://isa100wci.org/en-US/Supplier-Resources/ISA100-Wireless-Technology-Providers (accessed on 8 September 2023).

71. Hassan, S.M.; Ibrahim, R.; Saad, N.; Bingi, K.; Asirvadam, V. Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems; Studies in Systems, Decision and Control Springer: Cham, Switzerland, 2020; Volume 293, Available online: https://link.springer.com/book/10.1007/978-3-030-47737-0 (accessed on 10 January 2024). [DOI: https://dx.doi.org/10.1007/978-3-030-47737-0]

72. Sordi, M.A.; Rayel, O.K.; Moritz, G.L.; Rebelatto, J.L. Towards Improving TSCH Energy Efficiency: An Analytical Approach to a Practical Implementation. Sensors; 2020; 20, 6047. [DOI: https://dx.doi.org/10.3390/s20216047]

73. LAUNCHXL-CC2650, SimpleLink™ CC2650 wireless MCU LaunchPad™ Development Kit. Available online: https://www.ti.com/tool/LAUNCHXL-CC2650 (accessed on 8 September 2023).

74. Pereira, G.; Laurindo, S.; Budke, G.; Montez, C.; Moraes, R. Experimental Assessment of IEEE 802.15.4e LLDN Mode Using COTS Wireless Sensor Network Nodes. IEEE Access; 2022; 10, pp. 12829-12837. [DOI: https://dx.doi.org/10.1109/ACCESS.2022.3146416]

75. 8-bit Microcontroller with Low Power 2.4GHz Transceiver for ZigBee and IEEE 802.15.4, ATmega256RFR2 ATmega128RFR2 ATmega64RFR2. Available online: https://ww1.microchip.com/downloads/en/DeviceDoc/Atmel-8393-MCU_Wireless-ATmega256RFR2-ATmega128RFR2-ATmega64RFR2_Datasheet.pdf (accessed on 8 September 2023).

76. ATMEL LIGHTWEIGHT MESH. Available online: https://www.microchip.com/en-us/development-tool/ATMEL-LIGHTWEIGHT-MESH (accessed on 8 September 2023).

77. Texas Instrument, Wi-Fi Products. Available online: https://www.ti.com/wireless-connectivity/wi-fi/products.html (accessed on 10 January 2024).

78. Microchip, Embedded Wi-Fi. Available online: https://www.microchip.com/en-us/products/wireless-connectivity/embedded-wi-fi (accessed on 8 September 2023).

79. Ubilite, UBI206 Specifications. Available online: https://www.ubilite.com/product/ (accessed on 8 September 2023).

80. Infineon, Wi-Fi 5 (802.11ac). Available online: https://www.infineon.com/cms/en/product/wireless-connectivity/airoc-wi-fi-plus-bluetooth-combos/wi-fi-5-802.11ac/ (accessed on 8 September 2023).

81. Infineon, Wi-Fi 6/6E (802.11ax). Available online: https://www.infineon.com/cms/en/product/wireless-connectivity/airoc-wi-fi-plus-bluetooth-combos/wi-fi-6-6e-802.11ax/ (accessed on 8 September 2023).

82. NXP, Wi-Fi^® 6 Next-Gen Wireless Connectivity. Available online: https://www.nxp.com/applications/enabling-technologies/connectivity/wi-fi-6:80211AX (accessed on 8 September 2023).

83. NXP, Wi-Fi^® + Bluetooth^® + 802.15.4. Available online: https://www.nxp.com/products/wireless/wi-fi-plus-bluetooth:WIFI-BLUETOOTH (accessed on 8 September 2023).

84. Silicon Labs. SiWx917 Wi-Fi 6 plus Bluetooth Low Energy (LE) 5.4 SoCs. Available online: https://www.silabs.com/wireless/wi-fi/siwx917-wireless-socs (accessed on 8 September 2023).

85. NEWRACOM, NRC7292 World’s First Wi-Fi HaLow + MCU SoC. Available online: https://newracom.com/products/nrc7292 (accessed on 8 September 2023).

86. Morse Micro, There’s Wi-Fi, then There’s Morse Micro Wi-Fi HaLow. Available online: https://www.morsemicro.com/products/ (accessed on 8 September 2023).

87. Wireless Power Transfer. Available online: https://en.wikipedia.org/wiki/Wireless_power_transfer (accessed on 12 July 2023).

88. Houran, M.A.; Yang, X.; Chen, W. Magnetically Coupled Resonance WPT: Review of Compensation Topologies, Resonator Structures with Misalignment, and EMI Diagnostics. Electronics; 2018; 7, 296. [DOI: https://dx.doi.org/10.3390/electronics7110296]

89. Lu, X.; Wang, P.D.; Niyato, D.; In Kim, D.; Han, Z. Wireless Charging Technologies: Fundamentals, Standards, and Network Applications. IEEE Commun. Surv. Tutor.; 2016; 18, pp. 1413-1452. [DOI: https://dx.doi.org/10.1109/COMST.2015.2499783]

90. Ponnimbaduge Perera, T.D.; Jayakody, D.N.K.; Sharma, S.K.; Chatzinotas, S.; Li, J. Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges. IEEE Commun. Surv. Tutor.; 2018; 20, pp. 264-302. [DOI: https://dx.doi.org/10.1109/COMST.2017.2783901]

91. Varshney, L.R. Transporting information and energy simultaneously. Information Theory. Proceedings of the 2008 IEEE International Symposium on Information Theory; Toronto, ON, Canada, 6–11 July 2008; pp. 1612-1616. [DOI: https://dx.doi.org/10.1109/ISIT.2008.4595260]

92. Jang, B.J.; Lee, S.; Yoon, H. HF-Band wireless power transfer system: Concept, Issues, and Design. Prog. Electromagn. Res.; 2012; 124, pp. 211-231. [DOI: https://dx.doi.org/10.2528/PIER11120511]

93. Asiful Huda, S.M.; Arafat, M.Y.; Moh, S. Wireless Power Transfer in Wirelessly Powered Sensor Networks: A Review of Recent Progress. Sensors; 2022; 22, 2952. [DOI: https://dx.doi.org/10.3390/s22082952] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35458935]

94. Valtchev, S.S.; Baikova, E.N.; Jorge, L.R. Electromagnetic field as the wireless transporter of energy. Elec. Energ.; 2012; 25, pp. 171-181. [DOI: https://dx.doi.org/10.2298/FUEE1203171V]

95. Schaap, S. Review of Electric Road Systems—Both a conventional and innovative technology. Bachelor Degree, KTH Royal Institute of Technology, Stockholm, Sweden. 2021; Available online: https://www.diva-portal.org/smash/get/diva2:1567949/FULLTEXT01.pdf (accessed on 10 January 2024).

96. Van Mulders, J.; Delabie, D.; Lecluyse, C.; Buyle, C.; Callebaut, G.; Van der Perre, L.; De Strycker, L. Wireless Power Transfer: Systems, Circuits, Standards, and Use Cases. Sensors; 2022; 22, 5573. [DOI: https://dx.doi.org/10.3390/s22155573]

97. Rehman, M.; Nallagownden, P.; Baharudin, Z. A Review Of Wireless Power Transfer System Using Inductive And Resonant Coupling. J. Ind. Technol.; 2018; 26, pp. 1-24. [DOI: https://dx.doi.org/10.21908/jit.2018.1]

98. Shevchenko, V.; Husev, O.; Strzelecki, R.; Pakhaliuk, B.; Poliakov, N.; Natalia, S. Compensation Topologies in IPT Systems: Standards, Requirements, Classification, Analysis, Comparison and Application. IEEE Access; 2019; 7, pp. 120559-120580. [DOI: https://dx.doi.org/10.1109/ACCESS.2019.2937891]

99. Sidiku, M.B.; Eronu, E.M.; Ashigwuike, E.C. A Review on Wireless Power Transfer: Concepts, Implementations, Challenges, and Mitigation Schemes. Niger. J. Technol.; 2020; 39, pp. 1206-1215. [DOI: https://dx.doi.org/10.4314/njt.v39i4.29]

100. Wei, X.; Wang, Z.; Dai, H. A Critical Review of Wireless Power Transfer via Strongly Coupled Magnetic Resonances. Energies; 2014; 7, pp. 4316-4341. [DOI: https://dx.doi.org/10.3390/en7074316]

101. Kiani, M.; Ghovanloo, M. The Circuit Theory Behind Coupled-Mode Magnetic Resonance-Based Wireless Power Transmission. IEEE Trans Circuits Syst.; 2012; 59, pp. 2065-2074. [DOI: https://dx.doi.org/10.1109/TCSI.2011.2180446]

102. Sample, A.P.; Meyer, D.A.; Smith, J.R. Analysis, Experimental Results, and Range Adaptation of Magnetically Coupled Resonators for Wireless Power Transfer. IEEE Trans. Ind. Electron.; 2011; 58, pp. 544-554. [DOI: https://dx.doi.org/10.1109/TIE.2010.2046002]

103. Ho, S.L.; Wang, J.; Fu, W.N.; Sun, M. A Comparative Study Between Novel Witricity and Traditional Inductive Magnetic Coupling in Wireless Charging. IEEE Trans.; 2011; 47, pp. 1522-1525. [DOI: https://dx.doi.org/10.1109/TMAG.2010.2091495]

104. Lecluyse, C.; Minnaert, B.; Kleemann, M. A Review of the Current State of Technology of Capacitive Wireless Power Transfer. Energies; 2021; 14, 5862. [DOI: https://dx.doi.org/10.3390/en14185862]

105. Song, M.; Jayathurathnage, P.; Zanganeh, E.; Krasikova, M.; Smirnov, P. Up-And-Coming Physical Concepts of Wireless Power Transfer. arXiv; 2021; [DOI: https://dx.doi.org/10.48550/arXiv.2107.14086] arXiv: 2107.14086v1

106. Li, W. High Efficiency Wireless Power Transmission at Low Frequency Using Permanent Magnet Coupling. Master’s Thesis; University of British Columbia: Vancouver, Canada, 2009; Available online: https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0067661 (accessed on 10 January 2024).

107. UBC Wireless Power Transfer Technology USES magneto-Dynamic Coupling Rather Than Inductive Technology. Available online: https://www.greencarcongress.com/2012/11/ubcmdc-20121124.html (accessed on 12 July 2023).

108. ELIX Wireless & Zongshen Partner on Wireless Chargers for China and NA.; Magneto-Dynamic Coupling (MDC). Available online: https://www.greencarcongress.com/2016/09/20160921-elix.html (accessed on 12 July 2023).

109. Challa, V.R.; Mur-Miranda, J.O.; Arnold, D.P. Wireless power transmission to an electromechanical receiver using low-frequency magnetic fields. Smart Mater. Struct.; 2012; 21, 115017. [DOI: https://dx.doi.org/10.1088/0964-1726/21/11/115017]

110. Oruganti, S.K.; Liu, F.; Paul, D.; Liu, J.; Malik, J.; Feng, K.; Kim, H.; Liang, Y.; Thundat, T.; Bien, F. Experimental Realization of Zenneck Type Wave-based Non-Radiative, Non-Coupled Wireless Power Transmission. Sci Rep; 2020; 10, 925. [DOI: https://dx.doi.org/10.1038/s41598-020-57554-1] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31969594]

111. Bien, F.; Park, W.; Lee, B.; Byun, G. Metal Surface Guided-Wireless Power Transfer System for Portable Applications with Multiple Receivers. IEEE Access; 2021; 9, pp. 78724-78734. [DOI: https://dx.doi.org/10.1109/ACCESS.2021.3076507]

112. WPC—Qi Specification, V1.3. Available online: https://www.wirelesspowerconsortium.com/knowledge-base/specifications/ (accessed on 12 July 2023).

113. WPC—A Qi Wireless Charger: Resonant as well as Inductive. Available online: https://www.wirelesspowerconsortium.com/knowledge-base/magnetic-induction-technology/resonance/qi-wireless-charger-resonant-as-well-as-inductive.html (accessed on 12 July 2023).

114. WPC—KI Cordless Kitchen Standard. Available online: https://www.wirelesspowerconsortium.com/kitchen/ (accessed on 12 July 2023).

115. Wireless Power Consortium (WPC). Available online: https://www.wirelesspowerconsortium.com/ (accessed on 12 July 2023).

116. NFC Forum Releases Wireless Charging Specification 2.0. Available online: https://nfc-forum.org/news/2021-10-nfc-forum-releases-wireless-charging-specification-2-0/ (accessed on 12 July 2023).

117. Wireless Power Transmission Systems—ARIB STD-T113. Available online: https://www.arib.or.jp/english/std_tr/telecommunications/desc/std-t113.html (accessed on 12 July 2023).

118. Wireless Power Consortium—Products. Available online: https://www.wirelesspowerconsortium.com/products (accessed on 12 July 2023).

119. Qi Certified Products—Safe and Reliable Wireless Charging. Available online: https://www.wirelesspowerconsortium.com/knowledge-base/testing-and-certification/qi-certified-products.html (accessed on 12 July 2023).

120. Qi Components and Subsystems. Available online: https://www.wirelesspowerconsortium.com/knowledge-base/testing-and-certification/qi-components-and-subsystems.html (accessed on 12 July 2023).

121. Infineon WLC1115-68LQXQ. Available online: https://www.infineon.com/cms/en/product/power/wireless-charging-ics/wlc1115-68lqxq/ (accessed on 12 July 2023).

122. Mouser Catalog, Infineon WLC1115-68LQXQ. Available online: https://eu.mouser.com/ProductDetail/Infineon-Cypress/WLC1115-68LQXQ?qs=4ASt3YYao0VGjx2nXvg4iw%3D%3D (accessed on 12 July 2023).

123. Qi-Compliant Inductive Wireless Power Receiver for 5W Applications STWLC68. Available online: https://www.st.com/content/ccc/resource/technical/document/datasheet/group3/5b/66/a7/45/0a/e6/4f/6e/DM00658688/files/DM00658688.pdf/jcr:content/translations/en.DM00658688.pdf (accessed on 12 July 2023).

124. Qi-Compliant Dual Mode Wireless Power Receiver for up to 15W Applications STWLC38. Available online: https://www.st.com/content/ccc/resource/technical/document/datasheet/group3/92/9e/21/71/9b/54/4e/22/DM00912846/files/DM00912846.pdf/jcr:content/translations/en.DM00912846.pdf (accessed on 12 July 2023).

125. Digital Controller for Wireless Battery Charger Transmitters STWBC2-HP. Available online: https://www.st.com/content/ccc/resource/technical/document/datasheet/group3/d8/6b/2a/26/d3/55/41/88/DM00822698/files/DM00822698.pdf/jcr:content/translations/en.DM00822698.pdf (accessed on 12 July 2023).

126. Qi-Compliant Inductive Wireless Power Receiver for 70W applications STWLC98. Available online: https://www.st.com/content/ccc/resource/technical/document/data_brief/group3/c9/6d/ba/30/b0/08/4c/d0/DM00815066/files/DM00815066.pdf/jcr:content/translations/en.DM00815066.pdf (accessed on 12 July 2023).

127. STMicroelectronics Boosts Wireless Charging Speed, Efficiency, and Flexibility with 70W High-Power Chipsets. Available online: https://newsroom.st.com/media-center/press-item.html/n4390.html# (accessed on 12 July 2023).

128. Qi Compliant Wireless Power Transmitter ICs. Available online: https://www.renesas.com/eu/en/products/power-power-management/wireless-power/wireless-power-transmitters (accessed on 12 July 2023).

129. Wireless Power Receiver ICs. Available online: https://www.renesas.com/eu/en/products/power-power-management/wireless-power/wireless-power-receivers (accessed on 12 July 2023).

130. TDK, WPT Product Lineup. Available online: https://product.tdk.com/en/products/wireless-charge/index.html (accessed on 12 July 2023).

131. TDK Tx Coil Units and Modules. Available online: https://product.tdk.com/en/search/wireless-charge/wireless-charge/tx-coil-module/catalog (accessed on 12 July 2023).

132. TDK Rx Coil Units and Modules. Available online: https://product.tdk.com/en/search/wireless-charge/wireless-charge/rx-coil-module/catalog (accessed on 12 July 2023).

133. Tools to Integrate AirFuel Resonant in Your Product. Available online: https://airfuel.org/tools-to-integrate-airfuel-resonant-in-your-product/ (accessed on 12 July 2023).

134. Complete AirFuel Alliance Compatible Wireless Power Demo Kit. Available online: https://eepower.com/new-industry-products/complete-airfuel-alliance-compatible-wireless-power-demo-kit/ (accessed on 12 July 2023).

135. EPC9129—Wireless Power Demonstration System. Available online: https://epc-co.com/epc/products/demo-boards/epc9129 (accessed on 12 July 2023).

136. Powercast—PowerSpot. Available online: https://www.powercastco.com/products/powerspot/ (accessed on 12 July 2023).

137. Powercast—Powerharvester Receiver Chips & Modules. Available online: https://www.powercastco.com/receivers/ (accessed on 12 July 2023).

138. Powercast—Development Tools. Available online: https://www.powercastco.com/development-kits/#P2110-EVAL-01 (accessed on 12 July 2023).

139. OSSIA Real Wireless Power—COTA. Available online: https://www.ossia.com/cota/ (accessed on 12 July 2023).

140. Wireless Power Technology Will Lead to Smaller IoT Devices—14 September 2021. Available online: https://www.powersystemsdesign.com/articles/wireless-power-technology-will-lead-to-smaller-iot-devices/149/18265 (accessed on 12 July 2023).

141. E-peas—Energy Harvesting Ambient Energy Managers (AEM family). Available online: https://e-peas.com/energy-harvesting/ (accessed on 12 July 2023).

142. Energous—Chips & Modules. Available online: https://energous.com/products/chips-modules/ (accessed on 12 July 2023).

143. Energous Commends the United Nations’ ITU Approval and Recommendation for Radio Frequency-Based Wireless Power Transfer in the 900 MHz Band—10 October 2022. Available online: https://ir.energous.com/news-events/press-releases/detail/739/energous-commends-the-united-nations-international (accessed on 12 July 2023).

144. Barton, R.J.; Wagner, R.S.; Fink, P.W. Space Applications of Low-Power Active Wireless Sensor Networks and Passive RFID Tags. Wireless Sensor and Mobile Ad-Hoc Networks—Vehicular and Space Applications; Benhaddou, D.; Al-Fuqaha, A. Springer: New York, NY, USA, 2015; pp. 97-127. [DOI: https://dx.doi.org/10.1007/978-1-4939-2468-4_5]

145. Wagner, R.S.; Barton, R.J. Performance Comparison of Wireless Sensor Network Standard Protocols in an Aerospace Environment: ISA100.11a and ZigBee Pro. Proceedings of the 2012 IEEE Aerospace Conference; Big Sky, MT, USA, 3–10 March 2012; pp. 1-14. [DOI: https://dx.doi.org/10.1109/AERO.2012.6187218]

146. Wagner, R.S.; Dufour, J.F.; Braham, S.P.; Barton, R.J. An Overview of the Smart Sensor Inter-Agency Reference Testbench (SSIART). Proceedings of the 2013 IEEE Aerospace Conference; Big Sky, MT, USA, 2–9 March 2013; pp. 1-7. [DOI: https://dx.doi.org/10.1109/AERO.2013.6496962]

147. Yoshida, S.; Hasegawa, N.; Kobayashi, Y.; Miyachi, A.; Sakaki, H.; Nishikawa, K.; Moriguchi, Y.; Furuta, S.; Maekawa, C.; Urushibara, I. et al. Wireless Sensor Network System with Wireless Powering by Time Division Operation at 5.8 GHz in a Reusable Rocket. Proceedings of the 2015 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT); Sendai, Japan, 26–28 August 2015; pp. 232-234. [DOI: https://dx.doi.org/10.1109/RFIT.2015.7377944]

148. Kesuma, H.; Sebald, J.; Ahobala, T.; Paul, S. Ariane 5 Space Launcher Vehicle Equipment Bay Wireless Sensor Network Telemetry Subsystem with Smart Sensors. Proceedings of the etc2016—36th European Telemetry and Test Conference; Nürnberg, Germany, 10–12 May 2016; Chapter 8 pp. 233-238. [DOI: https://dx.doi.org/10.5162/etc2016/8.3]

149. Yedavalli, R.K.; Belapurkar, R.K. Application of wireless sensor networks to aircraft control and health management systems. J. Control Theory Appl.; 2011; 9, pp. 28-33. [DOI: https://dx.doi.org/10.1007/s11768-011-0242-9]

150. Chalhoub, G.; Deux, M.C.; Rmili, B.; Misson, M. Reliable High Data Rate Wireless Sensor Network for Heavy-Lift Launch Vehicles. Proceedings of the 7th European Conference for Aeronautics And Aerospace Sciences (EUCASS 2017); Milano, Italy, 3–6 July 2017; [DOI: https://dx.doi.org/10.13009/EUCASS2017-70]

151. Chalhoub, G.; Diab, R.; Misson, M. HMC-MAC Protocol for High Data Rate Wireless Sensor Networks. Electronics; 2015; 4, pp. 359-379. [DOI: https://dx.doi.org/10.3390/electronics4020359]

152. Minet, P.; Chalhoub, G.; Livolant, E.; Misson, M.; Soua, R.; Diab, R.; Rmili, B.; Perelgritz, J.F. Multichannel Wireless Sensor Networks for Structural Health Monitoring of Aircraft and Launchers. Wireless Sensor Systems for Extreme Environments: Space, Underwater, Underground and Industrial; Rashvand, H.; Abedi, A. John Wiley: Hoboken, NJ, USA, 2017; pp. 169-200. Available online: https://hal.inria.fr/hal-01416367 (accessed on 10 January 2024).

153. Lübken, A.; Drobczyk, M.; Häseker, J.S.; Budroweit, J. Wireless Camera Network Demonstration for Launcher Applications Based on IR-UWB. Proceedings of the 2020 IEEE Space Hardware and Radio Conference (SHaRC); San Antonio, TX, USA, 26–29 January 2020; pp. 1-4. [DOI: https://dx.doi.org/10.1109/SHaRC47220.2020.9034034]

154. Herscovici, N.; Christodoulou, C.; Lappas, V.; Prassinos, G.; Baker, A.; Magnuss, R. Wireless Sensor Motes for Small Satellite Applications. IEEE Antennas Propag. Mag.; 2006; 48, pp. 175-179. [DOI: https://dx.doi.org/10.1109/MAP.2006.277130]

155. Xbow—MICA2DOT Datasheet. Available online: http://www.cmt-gmbh.de/Mica2dot.pdf (accessed on 12 July 2023).

156. Shetty, S.; Song, M.; Ash, R.; Ancel, E.; Bone, K. Wireless Sensor Payload Design for Sounding Rocket. Proceedings of the 22nd International Conference on Computers and Their Applications (CATA-2007); Honolulu, HI, USA, 28–30 March 2007; Available online: https://faculty.tnstate.edu/MovedToOU/sshetty/papers/cata2007.pdf (accessed on 22 July 2023).

157. Wireless for Spacecraft Application Workshop. 10–13 July 2006. Available online: https://cwe.ccsds.org/sois/docs/SOIS-WIR/Unsorted%20Folder/report_wireless_spaceapp2006%20.pdf (accessed on 12 July 2023).

158. Beestermöller, H.J.; Sebald, J.; Sinnreich, M.C.; Borchers, H.J.; Schneider, M.; Luttmann, H.; Schmid, V. Wireless-Sensor Networks in Space Technology Demonstration on ISS. Proceedings of the 12th Dresdner Sensor-Symposium 2015; Dresden, Germany, 7–9 December 2015; pp. 99-102. [DOI: https://dx.doi.org/10.5162/12dss2015/7.3]

159. Gao, S.; Dai, X.; Hang, Y.; Guo, Y.; Ji, Q. Airborne Wireless Sensor Networks for Airplane Monitoring System. Wirel. Commun. Mob. Comput.; 2018; 2018, 6025825. [DOI: https://dx.doi.org/10.1155/2018/6025825]

160. Arms, S.W.; Townsend, C.P.; Galbreath, J.H.; Di Stasi, S.J.; Liebschutz, D.; Phan, N. Flight Testing of Wireless Sensing Networks for Rotorcraft Structural Health and Usage Management Systems. Proceedings of AIAC14 Fourteenth Australian International Aerospace Congress; Melbourne, Australia, 28 February–3 March 2011; Available online: http://www.humsconference.com.au/Papers2011/Arms_S_Flight_Testing_of_Wireless.pdf (accessed on 10 January 2024).

161. BOSCH-Sensortec BME 280—Data Sheet. Available online: https://www.bosch-sensortec.com/media/boschsensortec/downloads/datasheets/bst-bme280-ds002.pdf (accessed on 12 July 2023).

162. BOSCH-Sensortec BMA 400—Data Sheet. Available online: https://www.bosch-sensortec.com/media/boschsensortec/downloads/datasheets/bst-bma400-ds000.pdf (accessed on 12 July 2023).

163. ON Semiconductor RSL10 SiP—Data Sheet. Available online: https://www.onsemi.com/download/data-sheet/pdf/rsl10sip-d.pdf (accessed on 12 July 2023).

164. ON Semiconductor RSL10-SOLARSENS-GEVK—Data Sheet. Available online: https://www.onsemi.com/design/tools-software/evaluation-board/rsl10-solarsens-gevk?utm_source=draculablog&utm_medium=blog&utm_campaign=rsl10-solar-sensor&utm_term=iot&utm_content=rsl10solarsensgevk (accessed on 12 July 2023).

165. Shepard, J. Nuances of low power MCUs for wireless sensors and wearables. Microcontroller Tips; 2021; Available online: https://www.microcontrollertips.com/nuances-of-low-power-mcus-for-wireless-sensors-and-wearables/ (accessed on 10 January 2024).

166. Kanoun, O.; Bradai, S.; Khriji, S.; Bouattour, G.; El Houssaini, D.; Ben Ammar, M.; Naifar, S.; Bouhamed, A.; Derbel, F.; Viehweger, C. Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review. Sensors; 2021; 21, 548. [DOI: https://dx.doi.org/10.3390/s21020548] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33466681]

167. Texas Instruments. Taking Power to a New Low with the SimpleLink ULP Wireless MCU Platform. Available online: https://e2e.ti.com/blogs_/b/process/posts/taking-power-to-a-new-low-with-the-simplelink-ulp-wireless-mcu-platform (accessed on 11 July 2023).

168. Langfelt, J.; Smith, N.; Vetti, S. Ultra-Low Power Designs with the CC13x2 and CC26x2 Sensor Controller. Texas Instruments TechNotes. Available online: https://www.ti.com/lit/an/swra598/swra598.pdf?ts=1669773472952&ref_url=https%253A%252F%252Fwww.ti.com%252Fproduct%252FCC1312R (accessed on 11 July 2023).

169. You, S.; Eshraghian, J.K.; Iu, H.C.; ChoLow, K. Power Wireless Sensor Network Using Fine-Grain Control of Sensor Module Power Mode. Sensors; 2021; 21, 3198. [DOI: https://dx.doi.org/10.3390/s21093198] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34064503]