Fuzzy Logic Implementation of Antcolony Based Clusterhead Selection Algorithm

Abstract: In the mobile Ad hoc networks (MANETs) the mobility of nodes is one the important factor that needs to be taken care and hence there has to be a certain way to determine the relative location of any node and thus the cluster based algorithm provides one of the best solution to this problem. The fuzzy logic approach provides us the method to find the degree of truthness and hence can be best used to test the solution on the tool like MATLAB. In this paper proposed ABC (Antcolony Based Clusterhead) Selection algorithm have been testified based on the fuzzy logic on the MATLAB tool .This cluster formation algorithm provides us with a way to determine the node to be selected as a Clusterhead with in a cluster through the use of Ant colony optimization (ACO). The probability function designed in the paper helps in determining the probability for various nodes to be selected as a cluster head.

Keywords: MANETs, Clusterhead, Cluster, ACO, Fuzzy logic, MATLAB.