Enhanced Adaptive Clustering Mechanism for Effective Cluster Formation in WSN
International Journal of Current Engineering and Scientific Research (IJCESR), Vol. 4, Issue 9 (2017)
8 Pages Posted: 25 Oct 2017
Date Written: October 25, 2017
Reduced energy utilization is an exigent task for these sensor networks. In this paper hybrid energy efficient clustering algorithm for wireless sensor networks has been proposed, which mainly spotlights on reduction in energy utilization. It is a well distributed, energy efficient clustering algorithm which employs distributed relay nodes, adaptive transmission power and threshold-sensitive clustering mechanism for setting up the cluster. The proposed scheme is compared with the well-evaluated existing distributed clustering algorithms O-LEACH and HEED. Simulation results clearly depict an excellent advancement in remaining energy and throughput of the wireless sensor system. Simulation study also demonstrates an exceptional prolongation in network lifetime compared to the two existing clustering algorithms.
Keywords: wireless sensor network (WSN), distributed clustering, distributed relay node, adaptive transmission power, throughput, network lifetime
Suggested Citation: Suggested Citation