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Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs

In multihop data collection sensor network, nodes near the sink need to relay on remote data and, thus, have much faster energy dissipation rate and suffer from premature death. This phenomenon causes energy hole near the sink, seriously damaging the network performance. In this paper, we first comp...

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Detalles Bibliográficos
Autores principales: Qing-hua, Li, Wei-hua, Gui, Zhi-gang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033564/
https://www.ncbi.nlm.nih.gov/pubmed/24895668
http://dx.doi.org/10.1155/2014/894018
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author Qing-hua, Li
Wei-hua, Gui
Zhi-gang, Chen
author_facet Qing-hua, Li
Wei-hua, Gui
Zhi-gang, Chen
author_sort Qing-hua, Li
collection PubMed
description In multihop data collection sensor network, nodes near the sink need to relay on remote data and, thus, have much faster energy dissipation rate and suffer from premature death. This phenomenon causes energy hole near the sink, seriously damaging the network performance. In this paper, we first compute energy consumption of each node when sink is set at any point in the network through theoretical analysis; then we propose an online distributed algorithm, which can adjust sink position based on the actual energy consumption of each node adaptively to get the actual maximum lifetime. Theoretical analysis and experimental results show that the proposed algorithms significantly improve the lifetime of wireless sensor network. It lowers the network residual energy by more than 30% when it is dead. Moreover, the cost for moving the sink is relatively smaller.
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spelling pubmed-40335642014-06-03 Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs Qing-hua, Li Wei-hua, Gui Zhi-gang, Chen ScientificWorldJournal Research Article In multihop data collection sensor network, nodes near the sink need to relay on remote data and, thus, have much faster energy dissipation rate and suffer from premature death. This phenomenon causes energy hole near the sink, seriously damaging the network performance. In this paper, we first compute energy consumption of each node when sink is set at any point in the network through theoretical analysis; then we propose an online distributed algorithm, which can adjust sink position based on the actual energy consumption of each node adaptively to get the actual maximum lifetime. Theoretical analysis and experimental results show that the proposed algorithms significantly improve the lifetime of wireless sensor network. It lowers the network residual energy by more than 30% when it is dead. Moreover, the cost for moving the sink is relatively smaller. Hindawi Publishing Corporation 2014 2014-05-07 /pmc/articles/PMC4033564/ /pubmed/24895668 http://dx.doi.org/10.1155/2014/894018 Text en Copyright © 2014 Li Qing-hua et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Qing-hua, Li
Wei-hua, Gui
Zhi-gang, Chen
Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
title Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
title_full Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
title_fullStr Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
title_full_unstemmed Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
title_short Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
title_sort optimal location through distributed algorithm to avoid energy hole in mobile sink wsns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033564/
https://www.ncbi.nlm.nih.gov/pubmed/24895668
http://dx.doi.org/10.1155/2014/894018
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