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5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007)
Hierarchical Node Clustering Approach for Energy Savings in WSNs
Haeundae Grand Hotel, Busan, South Korea
August 20-August 22
ISBN: 0-7695-2867-8
Siho Cha, Sejong University, Korea
Minho Jo, SungKyunKwan University, Korea
Jong-Eon Lee, Kwangwoon University, Korea
Dae-Young Kim, Kwangwoon University, Korea
Seokjoong Kang, Kwangwoon University, Korea
Kuk-Hyun Cho, Kwangwoon University, Korea
Nobok Lee, Agency for Defense Development, Korea
Younghyun Kim, Agency for Defense Development, Korea
This paper proposes an energy efficient clustering algorithm for self-organizing and self-managing WSNs, called SNOWCLUSTER. It introduces region node selection as well as cluster head election based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. SNOWCLUSTER clusters periodically to select cluster heads that are richer in residual energy level, compared to the other nodes to achieve load balancing and extend the lifetime of every individual sensor nodes. After the cluster heads are selected, SNOWCLUSTER selects the region nodes in the cluster heads based on the energy level of them and chooses gateway nodes between clusters based on their location information. The effectiveness of the proposed SNOWCLUSTER algorithm is validated through actual implementation and simulation using ns-2. The simulation results reveal that the proposed framework allows smaller energy consumption for network management and longer network lifetime than the existing schemes such as LEACH and LEACH-C for practical size networks.
Citation:
Siho Cha, Minho Jo, Jong-Eon Lee, Dae-Young Kim, Seokjoong Kang, Kuk-Hyun Cho, Nobok Lee, Younghyun Kim, "Hierarchical Node Clustering Approach for Energy Savings in WSNs," sera, pp.253-259, 5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007), 2007
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