Abstract

For the resource constraint wireless sensor network, clustered architecture has been admitted as energy efficient approach. Clustered architecture reduces the energy consumption of sensor nodes with extra advantage of scalability and fault tolerance to the network. Low Energy Adaptive Clustering Hierarchy (LEACH) and based clustering techniques for wireless sensor networks optimize the number of cluster heads in a round but because of probabilistic nature of the techniques does not give an assurance of optimal number of clusters in each round. Work of this paper addresses that issue and compares the results of optimal number of cluster heads in each round with probabilistic cluster heads in each round. Analysis of simulation results advocates that selection of optimal number of cluster heads in each round is better than random number of cluster head selection.

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