FUZZY BASED ENERGY EFFICIENT CLUSTERING IN WIRELESS SENSOR NETWORK

A Wireless Sensor Network (WSN) contains many tiny sensor nodes which have minimum battery power, low-cost, with computing and communication competences with limited range for communication with multi model and embedded sensing capability. Environment, habitat and military surveillance monitoring are the most significant application of WSN. The lifetime of the network depends on energy power of these sensor nodes. To efficiently improve the lifetime of the network, a clusterbased routing protocol is an effective scheme. In that, the numbers of sensor nodes are split into several groups known as Clusters. Based on some parameters, each cluster node will elect a node from their cluster to be the head, called as cluster head (CH). All sensor nodes gather the information from their surroundings and send it to the corresponding CHs. Afterward the data will be send to the Base Station (Sink) by the CHs. Thus, selecting the suitable CH can decline significant extent of energy dissipation. In this paper, we present a fuzzy based approach which will elect the CH with respect to energy and distance. On the other hand, we also exhibited the working benefits of using mobile sink, which travels in the network area and collects the information from sensor nodes, for improving the lifetime of the network, using different data collection strategies, instead of static base station. The Rendezvous nodes will have the ability to transfer data when the mobile sink comes near. The proposed technique is analyzed using network simulator.