Abstract

The rapid development of autonomous systems and Information and Communications Technologies (ICT) create new opportunities for maritime activities. Existing autonomous systems are becoming more powerful and utilise the capabilities of several types of devices such as Autonomous Underwater Vehicles (AUVs), Unmanned Surface Vehicles (USVs) – sometimes referred as Autonomous Surface Vehicles (ASVs) –, Unmanned Aerial Vehicles (UAVs), moored and drifting systems and, recently emerging, autonomous vessels. Their importance in providing new services in maritime environments is undeniable and the opportunity for coordinated and interconnected operations is clear. However, continuous wide integration of various technologies in maritime environments still faces many challenges. Operations may take place in remote locations, so that dependence on third-party infrastructures such as satellite communication or terrestrial communication systems must be expected. The reliability, performance, availability, and cost of such systems are important issues that need to be tackled. This work reviews the major advancements on state-of-the-art autonomous maritime vehicles and systems, which are used in several different scenarios, from scientific research to transportation. Moreover, the paper highlights how available technologies can be composed in order to efficiently and effectively operate in maritime environments. Highlights of the trade-off between autonomy and communication requirements are provided and followed by an overview of promising communication and networking technologies that could encourage the integration of autonomous systems in maritime scenarios.

Details

Title
Survey on Communication and Networks for Autonomous Marine Systems
Author
Zolich, Artur 1   VIAFID ORCID Logo  ; Palma, David 2 ; Kansanen, Kimmo 3 ; Fjørtoft, Kay 4 ; Sousa, João 5 ; Johansson, Karl H 6 ; Jiang, Yuming 2 ; Dong, Hefeng 3 ; Johansen, Tor A 1 

 Center for Autonomous Marine Operations and Systems (NTNU-AMOS), Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, NTNU, Trondheim, Norway 
 Department of Information Security and Communication Technology, NTNU, Trondheim, Norway 
 Department of Electronic Systems, NTNU, Trondheim, Norway 
 SINTEF Ocean, Trondheim, Norway 
 Department of Electrical and Computer Engineering, Porto University, Porto, Portugal 
 Center for Autonomous Marine Operations and Systems (NTNU-AMOS), Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, NTNU, Trondheim, Norway; School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden 
Pages
789-813
Publication year
2019
Publication date
Sep 2019
Publisher
Springer Nature B.V.
ISSN
09210296
e-ISSN
15730409
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2028350060
Copyright
Journal of Intelligent & Robotic Systems is a copyright of Springer, (2018). All Rights Reserved., © 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.