CFMTL: Clustering Wireless Sensor Network Using Fuzzy Logic and Mobile Sink In Three-Level

Abstract

Lifetime enhancement has always been of crucial importance for energy constrained sensor network due to resource limitations of sensor nodes. The protocol play important roll, which can minimize the delay while offering high energy efficiency and long span of network lifetime. This paper concentrate on energy optimization by introducing a novel and an adaptive clustering algorithm that is fuzzy logic and mobile sink based. In this paper, a three- level fuzzy logic is utilized to evaluate the Priority of sensors to become a cluster head. In the first level, the qualified nodes are selected based on their residual-energy and density of them. Then, in the second level, nodes overall cooperation is considered in the whole network with three fuzzy parameters. These parameters are centrality, proximity to base station and distance be- tween cluster-heads. In the third level, the sink is move based on two parameters energy of cluster heads and distance of cluster heads to sink. This paper compares the result of this CFMTL approach to LEACH, Fuzzy, GA and FGA algorithms.