Consistent cluster maintenance using Probability Based Adaptive Invoked Weighted Clustering Algorithm in MANETs

Abstract

A mobile ad hoc network (MANET), is a selfconfiguring network of mobile devices connected by wireless links. In order to achieve stable clusters, the cluster-heads maintaining the cluster should be stable with minimum overhead of cluster re-elections. In this paper we propose a Probability Based Adaptive Invoked Weighted Clustering Algorithm (PAIWCA) which can enhance the stability of the clusters by taking battery power of the nodes into considerations for the clustering formation and electing stable cluster-heads using cluster head probability of a node. In this simulation study a comparison was conducted to measure the performance of our algorithm with WCA in terms of the number of clusters formed, the connectivity of the network, and dominant set updates. The result shows that our algorithm performs better than existing one and is also tunable to different kinds of network conditions.

Efficient Cluster Head Selection Algorithm for MANET

“…Degree of a node is calculated by every node on the basis of distance parameter. If the Euclidean distance [11] is within the transmission range, the node will be elected as CH.…”