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Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks

Sensor networks provide services to a broad range of applications ranging from intelligence service surveillance to weather forecasting. While most of the sensor networks are terrestrial, Underwater Sensor Networks (USN) are an emerging area. One of the unavoidable and increasing challenges for mode...

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Detalles Bibliográficos
Autores principales: Vihman, Lauri, Kruusmaa, Maarja, Raik, Jaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125913/
https://www.ncbi.nlm.nih.gov/pubmed/34066834
http://dx.doi.org/10.3390/s21093264
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author Vihman, Lauri
Kruusmaa, Maarja
Raik, Jaan
author_facet Vihman, Lauri
Kruusmaa, Maarja
Raik, Jaan
author_sort Vihman, Lauri
collection PubMed
description Sensor networks provide services to a broad range of applications ranging from intelligence service surveillance to weather forecasting. While most of the sensor networks are terrestrial, Underwater Sensor Networks (USN) are an emerging area. One of the unavoidable and increasing challenges for modern USN technology is tolerating faults, i.e., accepting that hardware is imperfect, and coping with it. Fault Tolerance tends to have more impact in underwater than in terrestrial environment as the latter is generally more forgiving. Moreover, reaching the malfunctioning devices for replacement and maintenance under water is harder and more costly. The current paper is the first to provide an overview of fault-tolerant, particularly cross-layer fault-tolerant, techniques in USNs. In the paper, we present a systematic survey of the techniques, introduce a taxonomy of the Fault Tolerance tasks, present a categorized list of articles, and list the open research issues within the area.
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spelling pubmed-81259132021-05-17 Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks Vihman, Lauri Kruusmaa, Maarja Raik, Jaan Sensors (Basel) Review Sensor networks provide services to a broad range of applications ranging from intelligence service surveillance to weather forecasting. While most of the sensor networks are terrestrial, Underwater Sensor Networks (USN) are an emerging area. One of the unavoidable and increasing challenges for modern USN technology is tolerating faults, i.e., accepting that hardware is imperfect, and coping with it. Fault Tolerance tends to have more impact in underwater than in terrestrial environment as the latter is generally more forgiving. Moreover, reaching the malfunctioning devices for replacement and maintenance under water is harder and more costly. The current paper is the first to provide an overview of fault-tolerant, particularly cross-layer fault-tolerant, techniques in USNs. In the paper, we present a systematic survey of the techniques, introduce a taxonomy of the Fault Tolerance tasks, present a categorized list of articles, and list the open research issues within the area. MDPI 2021-05-08 /pmc/articles/PMC8125913/ /pubmed/34066834 http://dx.doi.org/10.3390/s21093264 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Review
Vihman, Lauri
Kruusmaa, Maarja
Raik, Jaan
Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks
title Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks
title_full Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks
title_fullStr Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks
title_full_unstemmed Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks
title_short Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks
title_sort systematic review of fault tolerant techniques in underwater sensor networks
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125913/
https://www.ncbi.nlm.nih.gov/pubmed/34066834
http://dx.doi.org/10.3390/s21093264
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