Effect of Heterogeneous Nodes Location on the Performance of Clustering Algorithms for Wireless Sensor Networks
Vipin Pal, Yogita Yogita, Girdhari Singh, Rahul Yadav · Procedia Computer Science · 2015
Improved network lifetime without much increase in the cost contributes popularity to heterogeneous wireless sensor networks. Clustering algorithms designed to utilize advantage of heterogeneity of nodes allow these nodes to be cluster head more times than normal nodes to have load balanced network. Cluster head selection is pivotal for the performance of clustering algorithms as cluster quality in terms of communication distance depends upon the location of selected head in the cluster. Work of this paper analyzes the effect of location of heterogeneous nodes on the performance of clustering algorithms. Worst case, average (random) case and best case for location of heterogeneous nodes are considered for analyzing the effect on the performance of clustering algorithms.