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Received: 2008-11-03

Revision Accepted: 2009-04-21

Crosschecked: 2009-08-14

Cited: 4

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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.10 P.1404-1412


Optimized algorithm for balancing clusters in wireless sensor networks

Author(s):  Mucheol KIM, Sunhong KIM, Hyungjin BYUN, Sangyong HAN

Affiliation(s):  School of Computer Science and Engineering, Chung-Ang University 221, Heuk seok-dong, Dongjak-gu, Seoul 156-756, Korea

Corresponding email(s):   kmooky@ec.cse.cau.ac.kr, shkim@ec.cse.cau.ac.kr, kesarr@ec.cse.cau.ac.kr, hansy@cau.ac.kr

Key Words:  Wireless sensor networks, Self-organizing sensor algorithm, Clustering algorithm, Optimization

Mucheol KIM, Sunhong KIM, Hyungjin BYUN, Sangyong HAN. Optimized algorithm for balancing clusters in wireless sensor networks[J]. Journal of Zhejiang University Science A, 2009, 10(10): 1404-1412.

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%T Optimized algorithm for balancing clusters in wireless sensor networks
%A Mucheol KIM
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%DOI 10.1631/jzus.A0820765

T1 - Optimized algorithm for balancing clusters in wireless sensor networks
A1 - Mucheol KIM
A1 - Sunhong KIM
A1 - Hyungjin BYUN
A1 - Sangyong HAN
J0 - Journal of Zhejiang University Science A
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DOI - 10.1631/jzus.A0820765

wireless sensor networks consist of hundreds or thousands of sensor nodes that involve numerous restrictions including computation capability and battery capacity. Topology control is an important issue for achieving a balanced placement of sensor nodes. The clustering scheme is a widely known and efficient means of topology control for transmitting information to the base station in two hops. The automatic routing scheme of the self-organizing technique is another critical element of wireless sensor networks. In this paper we propose an optimal algorithm with cluster balance taken into consideration, and compare it with three well known and widely used approaches, i.e., LEACH, MEER, and VAP-E, in performance evaluation. Experimental results show that the proposed approach increases the overall network lifetime, indicating that the amount of energy required for communication to the base station will be reduced for locating an optimal cluster.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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