A Review: Cluster Head Selection using Fuzzy logic in Wireless Sensor Networks
Amar Kurmi, Jaya Dipti Lal, Sumit Ganvir · 2015
Despite significant advancements in wireless sensor networks (WSNs), energy conservation remains one of the most important research challenges. In designing the Wireless Sensor Networks, the energy is the most important consideration because the life time of the sensor node is limited by the battery of it. This paper deals with study and analysis of the investigating power consumption in wireless network and investigating the possible way to reduce the power consumption at Base Station. To overcome this demerit many research approaches have been done. The clustering is the one of the representative approaches. Proper organization of nodes (clustering) is one of the major techniques to expand the lifespan of the whole network through aggregating data at the cluster head. The cluster head is the backbone of the entire cluster. In this paper, a fuzzy logic approach to cluster-head election is proposed based on four descriptors - remain energy,neighbor distance, concentration and centrality. Simulation shows that depending upon network configuration, increase lifetime can be accomplished ascompared to other probabilistic model proposed for selecting the nodes as cluster-heads .