A fuzzy clustering with optimized cluster head selection method in manet

Abstract

MANET’S are a kind of Wireless ad hoc networks. The nodes in the networks are randomly move to different directions, self configurable and the network topology is various continuously and its act as a point-to-point, self-organisable, self-healing network.The network that assembled as an integral will be easily motile along with the nodes available in the network be capable of diagnosing the existence of remnant nodes and implement the establishment of decisive network to facilitate communications. Large networks are divided into various sub-networks and this segregation is called clustering which plays a compelling role in ad hoc networks. Clustering technique was primarily implemented to decrease the consumption of energy, efficient realization of MAC is enhanced, for security mechanisms and gathering of data. A mob of nodes that are interconnected together are called cluster. A committed node consisting of nodes that are interconnected is defined as CH (Cluster Head). Cluster head is crucially helpful for operating network in a desired way.This sweeping survey cynosures principally on the different clustering, Cluster head selection methodologies and compare with the proposed Fuzzy clustering with optimized cluster head selection method in terms of delay, energy, and throughput parameters.