Optimal number of clusters in wireless sensor networks: a FCM approach Online publication date: Sun, 08-Jul-2012
by Ajay Singh Raghuvanshi; Sudarshan Tiwari; Rajeev Tripathi; Nand Kishor
International Journal of Sensor Networks (IJSNET), Vol. 12, No. 1, 2012
Abstract: Wireless sensor networks (WSNs) are resource constrained systems that needs efficient utilisation of all available resources. Clustering is well-known technique to achieve high scalability and efficient resource allocation in WSNs. This paper presents an approach to determine optimal number and location of cluster head. The Fuzzy c-Means (FCM) clustering algorithm that uses X-axis and Y-axis coordinates of spatially distributed sensor nodes to form clusters is used in study. A random deployment of 100 nodes in 100 × 100 m² area is considered here. The optimal number of cluster heads (CHs) so determined is also compared with those obtained by analytical method. The life time analysis in terms of first node dead is also presented in optimally clustered network.
Online publication date: Sun, 08-Jul-2012
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