Cooperative robotic networks for underwater surveillance: an overview
Cooperative robotic networks for underwater surveillance: an overview
Underwater surveillance has traditionally been carried out by means of surface and undersea manned vessels equipped with advanced sensor systems. This approach is often costly and manpower intensive. Marine robotics is an emerging technological area that enables the development of advanced networks for underwater surveillance applications. In contrast with the use of standard assets, these advanced networks are typically composed of small, low-power, and possibly mobile robots, which have limited endurance, processing and wireless communication capabilities. When deployed in a region of interest, these robots can cooperatively form an intelligent network achieving high performance with significant features of scalability, adaptability, robustness, persistence and reliability. Such networks of robots can be the enabling technology for a wide range of applications in the maritime domain. However, they also introduce new challenges for underwater distributed sensing, data processing and analysis, autonomy and communications. The main thrust of this study is to review the underwater surveillance scenario within a framework of four research areas: (i) underwater robotics, (ii) acoustic signal processing, (iii) tracking and distributed information fusion, and (iv) underwater communications networks. Progress in each of these areas as well as future challenges is presented.
1740-1761
Ferri, Gabriele
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Munafò, Andrea
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Tesei, Alessandra
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Braca, Paolo
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Meyer, Florian
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Pelekanakis, Konstantinos
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Petroccia, Roberto
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Alves, João
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Strode, Christopher
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Lepage, Kevin
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1 December 2017
Ferri, Gabriele
0100a040-4a2c-437f-b9ad-37645f106938
Munafò, Andrea
cac7d755-d119-49a3-b99f-ca62778ee9bf
Tesei, Alessandra
1a0f98f7-e7d9-4a6f-bbc9-41baeaef2e0c
Braca, Paolo
958ecb68-1387-4e15-a42c-6ef13b9cd291
Meyer, Florian
3001f43a-a1cf-4d48-9543-f5423d04ca78
Pelekanakis, Konstantinos
2bb371f6-b5d3-44e3-afa2-144a1de4e0c1
Petroccia, Roberto
ecdcfa1d-070c-4447-8da4-09d8da034124
Alves, João
3f2d3eec-fb6c-47ba-8334-651ad5c49051
Strode, Christopher
d60f56da-66c7-45f4-98dd-93f19ba9df55
Lepage, Kevin
642f1317-5e8c-44e1-9b45-c30b34eb3ed7
Ferri, Gabriele, Munafò, Andrea, Tesei, Alessandra, Braca, Paolo, Meyer, Florian, Pelekanakis, Konstantinos, Petroccia, Roberto, Alves, João, Strode, Christopher and Lepage, Kevin
(2017)
Cooperative robotic networks for underwater surveillance: an overview.
IET Radar Sonar & Navigation, 11 (12), .
(doi:10.1049/iet-rsn.2017.0074).
Abstract
Underwater surveillance has traditionally been carried out by means of surface and undersea manned vessels equipped with advanced sensor systems. This approach is often costly and manpower intensive. Marine robotics is an emerging technological area that enables the development of advanced networks for underwater surveillance applications. In contrast with the use of standard assets, these advanced networks are typically composed of small, low-power, and possibly mobile robots, which have limited endurance, processing and wireless communication capabilities. When deployed in a region of interest, these robots can cooperatively form an intelligent network achieving high performance with significant features of scalability, adaptability, robustness, persistence and reliability. Such networks of robots can be the enabling technology for a wide range of applications in the maritime domain. However, they also introduce new challenges for underwater distributed sensing, data processing and analysis, autonomy and communications. The main thrust of this study is to review the underwater surveillance scenario within a framework of four research areas: (i) underwater robotics, (ii) acoustic signal processing, (iii) tracking and distributed information fusion, and (iv) underwater communications networks. Progress in each of these areas as well as future challenges is presented.
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Accepted/In Press date: 19 June 2017
Published date: 1 December 2017
Identifiers
Local EPrints ID: 416560
URI: http://eprints.soton.ac.uk/id/eprint/416560
ISSN: 1751-8784
PURE UUID: c3feda81-7f57-4ed4-91e1-03b74e964da4
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Date deposited: 03 Jan 2018 17:30
Last modified: 15 Mar 2024 17:44
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Contributors
Author:
Gabriele Ferri
Author:
Andrea Munafò
Author:
Alessandra Tesei
Author:
Paolo Braca
Author:
Florian Meyer
Author:
Konstantinos Pelekanakis
Author:
Roberto Petroccia
Author:
João Alves
Author:
Christopher Strode
Author:
Kevin Lepage
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