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Abstract

This study endeavored to enhance the efficiency and utility of microcomputer meters. In the past, their role was predominantly confined to remote meter reading, entailing high construction and communication transmission costs, coupled with subsequent maintenance and operational expenditures. These factors collectively impacted the enthusiasm of various stakeholders to invest in this realm. Hence, in alignment with the smart city development initiative, the natural gas industry has pioneered the establishment of an advanced metering infrastructure with heterogeneous wireless sensor networks (HWSNs) at its core. This visionary leap incorporates global machine-to-machine connectivity (G-M2MC) technology, interconnecting all facets of its operations, thereby positioning itself as a trailblazer within the industry. While advancing this endeavor, the project’s scheduling aligns with the enterprise’s sustainability goals in the early stages of digital transformation. This strategic allocation of resources is responsive to government policies and aspires to cultivate a digitally connected smart green energy hub, thereby expediting the transformation of the living environment. The objective is to provide a stable, secure, cost-effective, and reliable system that can be shared among peers. Furthermore, this study delved into the analysis of congestion avoidance in intelligent Zigbee satellite transport networks based on the HWSNs-GM2MC of non-synchronous satellite orbit system (NGSO) pivotal technologies, utilizing them to integrate the smart LNGas management system (SGMS). Concurrently, it developed application services through the smart meter application interface (SMAPI), distinct from conventional microcomputer meters. However, it is imperative to acknowledge that cloud computing, while processing sensitive data, grapples with issues of latency, privacy, efficiency, power consumption, and zero-trust security risk information management and ethical authority management capabilities in the defense of disaster relief responses.

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Business indexing term
Title
Novel AMI in Zigbee Satellite Network Based on Heterogeneous Wireless Sensor Network for Global Machine-to-Machine Connectivity
Author
Chia-Lun Wu 1   VIAFID ORCID Logo  ; Tsung-Tao, Lu 1 ; Chin-Tan, Lee 2   VIAFID ORCID Logo  ; Sun, Jwo-Shiun 1   VIAFID ORCID Logo  ; Hsin-Piao Lin 1   VIAFID ORCID Logo  ; Hwang, Yuh-Shyan 1 ; Wen-Tsai, Sung 3   VIAFID ORCID Logo 

 Department of Electronic Engineering, National Taipei University of Technology, Taipei City 106008, Taiwan; [email protected] (C.-L.W.); [email protected] (T.-T.L.); [email protected] (J.-S.S.); [email protected] (H.-P.L.); [email protected] (Y.-S.H.) 
 Department of Electronic Engineering, National Quemoy University, Jinning 892009, Taiwan 
 Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung City 411030, Taiwan 
Publication title
Volume
13
Issue
8
First page
1421
Publication year
2024
Publication date
2024
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20799292
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-04-09
Milestone dates
2024-02-22 (Received); 2024-04-03 (Accepted)
Publication history
 
 
   First posting date
09 Apr 2024
ProQuest document ID
3046897651
Document URL
https://www.proquest.com/scholarly-journals/novel-ami-zigbee-satellite-network-based-on/docview/3046897651/se-2?accountid=208611
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-06-19