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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Molecular Diversity Preservation International (MDPI)
2010
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3264464/ |
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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/ |
_version_ |
1611501721553469440 |