FCA - An Approach On LEACH Protocol Of Wireless Sensor Networks Using Fuzzy Logic

Authors

  • Vaibhav Godbole Asst. Prof., Fr. Conceicao Rodrigues College Of Engineering

Abstract

In order to gather information more efficiently, wireless sensor networks are partitioned into clusters. Themost of the proposed clustering algorithms do not consider the location of the base station. This situation causes hotspots problem in multi-hop wireless sensor networks. In this paper, we propose a fuzzy clustering algorithm (FCA) whichaims to prolong the lifetime of wireless sensor networks. FCA adjusts the cluster-head radius considering the residualenergy and the distance to the base station parameters of the sensor nodes. This helps decreasing the intra-clusterwork of the sensor nodes which are closer to the base station or have lower battery level. We utilize fuzzy logic forhandling the uncertainties in cluster-head radius estimation. We compare our algorithm with LEACH according to firstnode dies, half of the nodes alive and energy-efficiency metrics. Our simulation results show that FCA performs betterthan other algorithms in most of the cases. Therefore, our proposed algorithm is a stable and energy-efficient clusteringalgorithm.

Author Biography

  • Vaibhav Godbole, Asst. Prof., Fr. Conceicao Rodrigues College Of Engineering

    Vaibhav Godbole. Education: M.E. Electronics & Telecommunication (Mumbai University), B.E. Electrical Engineering (Mumbai University), DIE, DME. He is currently working as a Assistant Professor at Fr. Conceicao Rodigues College Of Engineering, Mumbai. His two research papers are in the press of Inderscience Publication Journal. He is also a reviewer for IET Journal of Networks. His areas of interests are Mobile & Wireless Communications, Evolutionary Algorithms, Genetic Algorithms, New Algorithms for Mobile Ad-Hoc Networks

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Cluster-head distribution example for LEACH with P = 0.05

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Published

2012-12-15

Issue

Vol. 3 No. 1 (2012): International Journal of Computer Communications and Networks

Section

Articles

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