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Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks †
Multi-hop data collection in wireless sensor networks (WSNs) is a challenge issue due to the limited energy resource and transmission range of wireless sensors. The hybrid clustering and routing (HCR) strategy has provided an effective solution, which can generate a connected and efficient cluster-b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634420/ https://www.ncbi.nlm.nih.gov/pubmed/26492248 http://dx.doi.org/10.3390/s151026583 |
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author | Xu, Zhezhuang Chen, Liquan Liu, Ting Cao, Lianyang Chen, Cailian |
author_facet | Xu, Zhezhuang Chen, Liquan Liu, Ting Cao, Lianyang Chen, Cailian |
author_sort | Xu, Zhezhuang |
collection | PubMed |
description | Multi-hop data collection in wireless sensor networks (WSNs) is a challenge issue due to the limited energy resource and transmission range of wireless sensors. The hybrid clustering and routing (HCR) strategy has provided an effective solution, which can generate a connected and efficient cluster-based topology for multi-hop data collection in WSNs. However, it suffers from imbalanced energy consumption, which results in the poor performance of the network lifetime. In this paper, we evaluate the energy consumption of HCR and discover an important result: the imbalanced energy consumption generally appears in gradient [Formula: see text] , i.e., the nodes that can communicate with the sink directly. Based on this observation, we propose a new protocol called HCR-1, which includes the adaptive relay selection and tunable cost functions to balance the energy consumption. The guideline of setting the parameters in HCR-1 is provided based on simulations. The analytical and numerical results prove that, with minor modification of the topology in gradient [Formula: see text] , the HCR-1 protocol effectively balances the energy consumption and prolongs the network lifetime. |
format | Online Article Text |
id | pubmed-4634420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46344202015-11-23 Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks † Xu, Zhezhuang Chen, Liquan Liu, Ting Cao, Lianyang Chen, Cailian Sensors (Basel) Article Multi-hop data collection in wireless sensor networks (WSNs) is a challenge issue due to the limited energy resource and transmission range of wireless sensors. The hybrid clustering and routing (HCR) strategy has provided an effective solution, which can generate a connected and efficient cluster-based topology for multi-hop data collection in WSNs. However, it suffers from imbalanced energy consumption, which results in the poor performance of the network lifetime. In this paper, we evaluate the energy consumption of HCR and discover an important result: the imbalanced energy consumption generally appears in gradient [Formula: see text] , i.e., the nodes that can communicate with the sink directly. Based on this observation, we propose a new protocol called HCR-1, which includes the adaptive relay selection and tunable cost functions to balance the energy consumption. The guideline of setting the parameters in HCR-1 is provided based on simulations. The analytical and numerical results prove that, with minor modification of the topology in gradient [Formula: see text] , the HCR-1 protocol effectively balances the energy consumption and prolongs the network lifetime. MDPI 2015-10-20 /pmc/articles/PMC4634420/ /pubmed/26492248 http://dx.doi.org/10.3390/s151026583 Text en © 2015 by the authors; licensee MDPI, 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/4.0/). |
spellingShingle | Article Xu, Zhezhuang Chen, Liquan Liu, Ting Cao, Lianyang Chen, Cailian Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks † |
title | Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks † |
title_full | Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks † |
title_fullStr | Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks † |
title_full_unstemmed | Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks † |
title_short | Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks † |
title_sort | balancing energy consumption with hybrid clustering and routing strategy in wireless sensor networks † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634420/ https://www.ncbi.nlm.nih.gov/pubmed/26492248 http://dx.doi.org/10.3390/s151026583 |
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