A Dynamic Clustering Mechanism Considering Energy Efficiency in the Wireless Sensor Network


KIPS Transactions on Computer and Communication Systems, Vol. 2, No. 5, pp. 199-202, May. 2013
10.3745/KTCCS.2013.2.5.199,   PDF Download:

Abstract

In the cluster mechanism of the wireless sensor network, the network lifetime is affected by how cluster heads are selected. One of the representative clustering mechanisms, the low-energy adaptive clustering hierarchy (LEACH), selects cluster heads periodically, resulting in high energy consumption in cluster reconstruction. On the other hand, the adaptive clustering algorithm via waiting timer (ACAWT) proposes a non-periodic re-clustering mechanism that reconstructs clusters if the remaining energy level of a cluster head reaches a given threshold. In this paper, we propose a re-clustering mechanism that uses multiple remaining node energy levels and does re-clustering when the remaining energy level of a cluster head reaches one level lower. Also, in determining cluster heads, both of the number of neighbor nodes and the remaining energy level are considered so that cluster heads can be more evenly placed. From the simulations based on the Qualnet simulator, we validate that our proposed mechanism outperforms ACAWT in terms of the network lifetime.


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Cite this article
[IEEE Style]
S. H. Ahn and H. Kim, "A Dynamic Clustering Mechanism Considering Energy Efficiency in the Wireless Sensor Network," KIPS Transactions on Computer and Communication Systems, vol. 2, no. 5, pp. 199-202, 2013. DOI: 10.3745/KTCCS.2013.2.5.199.

[ACM Style]
Sang Hyun Ahn and Hwan Kim. 2013. A Dynamic Clustering Mechanism Considering Energy Efficiency in the Wireless Sensor Network. KIPS Transactions on Computer and Communication Systems, 2, 5, (2013), 199-202. DOI: 10.3745/KTCCS.2013.2.5.199.