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Energy Efficient Location-Based Clustering for Skewed-Topology Wireless Sensor Networks

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3 Author(s)
Haewon Choi ; Dept. of Comput. Eng., Kyungwoon Univ., Seoul ; Byungrae Cha ; Kyungjun Kim

The energy consumption problem in wireless sensor networks is investigated. The problem is to expend as little energy as possible receiving and transmitting data, because of constrained battery. In this paper, in order to extend the lifetime of the network, we proposed a location-based clustering algorithm for wireless sensor network with skewed- topology. The proposed algorithm is to deploy multiple child nodes at the sink to avoid bottleneck near the sink and to save energy. Proposed algorithm can reduce control traffic overhead by creating a dynamic cluster. We have evaluated the performance of our clustering algorithm through an analysis and a simulation. We compare our algorithm's performance to the best known centralized algorithm, and demonstrate that it achieves a good performance in terms of the life time.

Published in:

Grid and Pervasive Computing Workshops, 2008. GPC Workshops '08. The 3rd International Conference on

Date of Conference:

25-28 May 2008