Abstract
Minimizing power consumption of node is important in wireless sensor 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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Chang, KB., Kong, YB., Park, GT. (2006). Clustering Algorithm in Wireless Sensor Networks Using Transmit Power Control and Soft Computing. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Control and Automation. Lecture Notes in Control and Information Sciences, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37256-1_23
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DOI: https://doi.org/10.1007/978-3-540-37256-1_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37255-4
Online ISBN: 978-3-540-37256-1
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