Energy-Efficient clustering algorithm in wireless sensor networks

Authors:
DaeHwan Kim;SangHak Lee;We Duke Cho
Affiliations:
Intelligent IT System Center, Korea Electronics Technology Institute, Gyeonggi-do, South Korea;Intelligent IT System Center, Korea Electronics Technology Institute, Gyeonggi-do, South Korea;Department of Electrical and Computer Engineering, Ajou University, Suwon, South Korea
Venue:
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Year:
2006

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Abstract

Wireless sensor networks is a key technology for new ways of interaction between computers and the physical environment. However, the energy constrained and limited computing resources of the sensor nodes present major challenges in gathering data. Since sensor nodes are densely deployed, redundant data may occur. While cluster-based data gathering is efficient at energy and bandwidth, it's difficult to cluster network efficiently. In this work, a new distributed clustering algorithm for ubiquitous sensor network is presented. Clustering is based on the distance between nodes and the number in a cluster for wireless sensor networks. Simulation results show that the proposed algorithm balances the energy dissipation over the whole network thus increase the amount of data delivery to the sink