A Variable Power Based Distributed Clustering Methodology for Connecting Sparse Wireless Sensor Network Fields
International Journal of Current Engineering and Scientific Research, Vol.4, Issue 9, 2017
9 Pages Posted: 18 Oct 2017
Date Written: October 17, 2017
To provision energy efficiency, nodes are frequently clustered in to non-overlapping clusters. This paper gives a brief overview on clustering process in wireless sensor networks. A distributed clustering methodology, the hybrid energy efficient clustering algorithm (HEECA) has been investigated. The proposed methodology is a well-distributed and energy-efficient clustering algorithm which employs three novel techniques: zone based transmission power (ZBTP), routing using distributed relay nodes (DRN) and rapid cluster formation (RCF). The proposed methodology is compared with the two well-evaluated existing distributed clustering algorithms OLEACH and hybrid energy efficient distributed clustering (HEED). The proposed methodology shows an improvement in residual energy, throughput and energy efficiency of the wireless sensor system. The clustering process could be effectively controlled, thereby the number of cluster head selection and the number of packets delivered to the base station shall be carried out effectively. Ultimately, the overall lifetime of the wireless sensor network is much improved. The distributed relay nodes employed in the proposed methodology could effectively connect two separate wireless sensor network fields with reduced packet loss.
Keywords: Wireless Sensor Network (WSN), Distributed Clustering Algorithm, Coverage Based Clustering, Energy Efficiency, Network Lifetime
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