optimization of Cluster Head Selection in Hierarchical Clustered Sensor Networks

Abstract

Wireless Sensor Networks as a field in wireless communication is thriving and it comprises of a collection of spatially distributed autonomous sensors that are employed for monitoring the physical and environmental changes. But, these sensor nodes have energy limitations and to overcome this limitation, there is a need for energy efficient techniques which improve the performance of the network. Clustering ensures uniform deployment of nodes and data aggregation by the cluster head (CH). Major proportion of energy is taken up while transmitting aggregated data to the base station (BS) via the CH, so in the proposed work, a Super Cluster Head (SCH) is used which directly communicates with the mobile BS, thereby reducing the load on CHs. LEACH-Type-2 Fuzzy Logic based technique improves the network lifespan considerably by optimizing the SCH selection process with Type-2 Fuzzy Logic. SCH selection is done based on chance factor computed by fuzzy parameters namely distance of the SCH to the BS, centrality and remaining battery. Simulation results demonstrate that the proposed LEACH-Type-2 technique provides better results than LEACH-Fuzzy technique and leads to improvement in the network lifetime.