An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks

An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks

Since wireless sensor networks (WSNs) consist of nodes with limited battery power, collaborative data processing and balanced energy consumption should be considered as the key issue. This paper proposes an efficient cluster head selection approach for collaborative data processing in WSNs. The prop...

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Main Authors: Yan Qiang, Bo Pei, Wei Wei, Yue Li
Format: Article
Language:English
Published: SAGE Publishing 2015-06-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/794518
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spelling doaj-ee358d7a4cf24f67a6371959b2dd555f2020-11-25T03:43:39ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-06-011110.1155/2015/794518794518An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor NetworksYan Qiang0Bo Pei1Wei Wei2Yue Li3 College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaSince wireless sensor networks (WSNs) consist of nodes with limited battery power, collaborative data processing and balanced energy consumption should be considered as the key issue. This paper proposes an efficient cluster head selection approach for collaborative data processing in WSNs. The proposed algorithm designs an effective energy-efficient model to select the optimal cluster heads among all nodes fairly, which helps to reduce the impact of the monitoring scheme on the lifetime of network. Experimental results show that the proposed protocol is able to reduce energy consumption and obtain higher efficiency as well as effectively prolonging the lifetime of network more than a few existing cluster-based routing protocols.https://doi.org/10.1155/2015/794518
collection DOAJ
language English
format Article
sources DOAJ
author Yan Qiang
Bo Pei
Wei Wei
Yue Li
spellingShingle Yan Qiang
Bo Pei
Wei Wei
Yue Li
An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
author_facet Yan Qiang
Bo Pei
Wei Wei
Yue Li
author_sort Yan Qiang
title An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks
title_short An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks
title_full An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks
title_fullStr An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks
title_full_unstemmed An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks
title_sort efficient cluster head selection approach for collaborative data processing in wireless sensor networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2015-06-01
description Since wireless sensor networks (WSNs) consist of nodes with limited battery power, collaborative data processing and balanced energy consumption should be considered as the key issue. This paper proposes an efficient cluster head selection approach for collaborative data processing in WSNs. The proposed algorithm designs an effective energy-efficient model to select the optimal cluster heads among all nodes fairly, which helps to reduce the impact of the monitoring scheme on the lifetime of network. Experimental results show that the proposed protocol is able to reduce energy consumption and obtain higher efficiency as well as effectively prolonging the lifetime of network more than a few existing cluster-based routing protocols.
url https://doi.org/10.1155/2015/794518
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