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Low-Power Failure Detection for Environmental Monitoring Based on IoT

Many environmental monitoring applications that are based on the Internet of Things (IoT) require robust and available systems. These systems must be able to tolerate the hardware or software failure of nodes and communication failure between nodes. However, node failure is inevitable due to environ...

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Detalles Bibliográficos
Autores principales: Liu, Jiaxi, Gao, Weizhong, Dong, Jian, Wu, Na, Ding, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513096/
https://www.ncbi.nlm.nih.gov/pubmed/34640809
http://dx.doi.org/10.3390/s21196489
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author Liu, Jiaxi
Gao, Weizhong
Dong, Jian
Wu, Na
Ding, Fei
author_facet Liu, Jiaxi
Gao, Weizhong
Dong, Jian
Wu, Na
Ding, Fei
author_sort Liu, Jiaxi
collection PubMed
description Many environmental monitoring applications that are based on the Internet of Things (IoT) require robust and available systems. These systems must be able to tolerate the hardware or software failure of nodes and communication failure between nodes. However, node failure is inevitable due to environmental and human factors, and battery depletion in particular is a major contributor to node failure. The existing failure detection algorithms seldom consider the problem of node battery consumption. In order to rectify this, we propose a low-power failure detector (LP-FD) that can provide an acceptable failure detection service and can save on the battery consumption of nodes. From simulation experiments, results show that the LP-FD can provide better detection speed, accuracy, overhead and battery consumption than other failure detection algorithms.
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spelling pubmed-85130962021-10-14 Low-Power Failure Detection for Environmental Monitoring Based on IoT Liu, Jiaxi Gao, Weizhong Dong, Jian Wu, Na Ding, Fei Sensors (Basel) Article Many environmental monitoring applications that are based on the Internet of Things (IoT) require robust and available systems. These systems must be able to tolerate the hardware or software failure of nodes and communication failure between nodes. However, node failure is inevitable due to environmental and human factors, and battery depletion in particular is a major contributor to node failure. The existing failure detection algorithms seldom consider the problem of node battery consumption. In order to rectify this, we propose a low-power failure detector (LP-FD) that can provide an acceptable failure detection service and can save on the battery consumption of nodes. From simulation experiments, results show that the LP-FD can provide better detection speed, accuracy, overhead and battery consumption than other failure detection algorithms. MDPI 2021-09-28 /pmc/articles/PMC8513096/ /pubmed/34640809 http://dx.doi.org/10.3390/s21196489 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 Article
Liu, Jiaxi
Gao, Weizhong
Dong, Jian
Wu, Na
Ding, Fei
Low-Power Failure Detection for Environmental Monitoring Based on IoT
title Low-Power Failure Detection for Environmental Monitoring Based on IoT
title_full Low-Power Failure Detection for Environmental Monitoring Based on IoT
title_fullStr Low-Power Failure Detection for Environmental Monitoring Based on IoT
title_full_unstemmed Low-Power Failure Detection for Environmental Monitoring Based on IoT
title_short Low-Power Failure Detection for Environmental Monitoring Based on IoT
title_sort low-power failure detection for environmental monitoring based on iot
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513096/
https://www.ncbi.nlm.nih.gov/pubmed/34640809
http://dx.doi.org/10.3390/s21196489
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