Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks

Due to the battery resource constraints, saving energy is a critical issue in wireless sensor networks, particularly in large sensor networks. One possible solution is to deploy multiple sink nodes simultaneously. Another possible solution is to employ an adaptive clustering hierarchy routing scheme...

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Main Authors: Cao, Lei, Xu, Chen, Shao, Wei, Zhang, Guoan, Zhou, Hui, Sun, Qiang, Guo, Yuehua
Format: Online
Language:English
Published: Molecular Diversity Preservation International (MDPI) 2010
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3264464/
id pubmed-3264464
recordtype oai_dc
spelling pubmed-32644642012-01-31 Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks Cao, Lei Xu, Chen Shao, Wei Zhang, Guoan Zhou, Hui Sun, Qiang Guo, Yuehua Article Due to the battery resource constraints, saving energy is a critical issue in wireless sensor networks, particularly in large sensor networks. One possible solution is to deploy multiple sink nodes simultaneously. Another possible solution is to employ an adaptive clustering hierarchy routing scheme. In this paper, we propose a multiple sink cluster wireless sensor networks scheme which combines the two solutions, and propose an efficient transmission power control scheme for a sink-centric cluster routing protocol in multiple sink wireless sensor networks, denoted as MSCWSNs-PC. It is a distributed, scalable, self-organizing, adaptive system, and the sensor nodes do not require knowledge of the global network and their location. All sinks effectively work out a representative view of a monitored region, after which power control is employed to optimize network topology. The simulations demonstrate the advantages of our new protocol. Molecular Diversity Preservation International (MDPI) 2010-03-11 /pmc/articles/PMC3264464/ /pubmed/22294911 http://dx.doi.org/10.3390/s100302003 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Cao, Lei
Xu, Chen
Shao, Wei
Zhang, Guoan
Zhou, Hui
Sun, Qiang
Guo, Yuehua
spellingShingle Cao, Lei
Xu, Chen
Shao, Wei
Zhang, Guoan
Zhou, Hui
Sun, Qiang
Guo, Yuehua
Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks
author_facet Cao, Lei
Xu, Chen
Shao, Wei
Zhang, Guoan
Zhou, Hui
Sun, Qiang
Guo, Yuehua
author_sort Cao, Lei
title Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks
title_short Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks
title_full Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks
title_fullStr Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks
title_full_unstemmed Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks
title_sort distributed power allocation for sink-centric clusters in multiple sink wireless sensor networks
description Due to the battery resource constraints, saving energy is a critical issue in wireless sensor networks, particularly in large sensor networks. One possible solution is to deploy multiple sink nodes simultaneously. Another possible solution is to employ an adaptive clustering hierarchy routing scheme. In this paper, we propose a multiple sink cluster wireless sensor networks scheme which combines the two solutions, and propose an efficient transmission power control scheme for a sink-centric cluster routing protocol in multiple sink wireless sensor networks, denoted as MSCWSNs-PC. It is a distributed, scalable, self-organizing, adaptive system, and the sensor nodes do not require knowledge of the global network and their location. All sinks effectively work out a representative view of a monitored region, after which power control is employed to optimize network topology. The simulations demonstrate the advantages of our new protocol.
publisher Molecular Diversity Preservation International (MDPI)
publishDate 2010
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3264464/
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