Performance of Energy Based Clustering Algorithm with Fitness Function for MANET

Abstract

           A set of wireless cellular nodes that apathetically   form  a brief community without the reliance of any infrastructure or valuable  administration is called Mobile Ad hoc Network (MANET). The energy is the scarcest  aid for the operation of the cellular ad hoc networks. Link lifetime, energy efficiency, Trust awareness and Mobility are four crucial optimization issues  in mobile ad hoc networks (MANETs) which nodes circulate unpredictably in any  route  with  restricted  battery lifestyles, consequent in not unusual alternate in topology and due to attackers do not forget of packet  shipping  will  cross through within the network. Those constraints are extensively studied to increase the protection lifetime of such networks. This paper highlights the problems of trust, lifetime, mobility as well as energy  efficiency  to increase a clustering algorithm , the use of  fitness  value  included  with EM technique. The election of cluster heads looks after trust, lifetime, mobility and remaining power in addition to the degree of connectivity for selecting nodes to function cluster heads for longer period of time. The cluster head is presented with the aid of taking fitness function and cluster formation is done the use of EM clustering algorithm. The proposed work is experimented extensively in the NS-3 network simulator and  compared  with the opposite existing algorithms. Finally, the results display the effectiveness of our proposed algorithm in phrases of network lifetime, common average variety of clusters formed, common quantity of re-clustering required , packet delivery ratio and energy strength consumption.