Clustering algorithm using Bayes' rule in mobile wireless sensor networks

Authors:
Young-Bae Kong;Kyung-Bae Chang;Gwi-Tae Park
Affiliations:
ISRL, College of Science, Korea University, Seoul, Korea;ISRL, College of Science, Korea University, Seoul, Korea;ISRL, College of Science, Korea University, Seoul, Korea
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Year:
2006

Citing 3
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Abstract

Wireless Sensor Network is an advanced technology that has a variety of applications such as environmental monitoring, battlefield, medical system, and crop precision. Minimizing power consumption of node is important in these networks. Transmit power control and clustering can reduce the energy consumption efficiently when nodes are non-homogeneously dispersed in space. This paper presents the clustering algorithm in wireless sensor networks. The clustering algorithm is based on the optimization of transmit power level by using the soft computing approaches. This solution determines the node transmit power level statistically and achieves energy savings efficiently.