CLC number: TN91; TP393
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2009-08-14
Cited: 4
Clicked: 6898
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.
@article{title="Optimized algorithm for balancing clusters in wireless sensor networks",
author="Mucheol KIM, Sunhong KIM, Hyungjin BYUN, Sangyong HAN",
journal="Journal of Zhejiang University Science A",
volume="10",
number="10",
pages="1404-1412",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820765"
}
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%DOI 10.1631/jzus.A0820765
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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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SP - 1404
EP - 1412
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820765
Abstract: 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.
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