Relaxing Weighted Clustering Algorithm for Reduction of Clusters and Cluster Head

Adhoc clustering in MANET is to divide mobile nodes into different virtual groups. Mobile nodes are allocated geographically adjacent in the cluster. Clustering is done by some rule specific in the network. In this paper, we have concentrated to modify weight based clustering algorithm to improve the performance in this wireless technology. By slight improvement in existing weight based clustering algorithm [1] reduction in cluster as well as cluster head can be observed through experiment. Proposed Algorithm specifies relaxing the weight criteria for isolated cluster head nodes in range of other cluster head as well as reconsidering the nodes in the range which is already participated in cluster formation. Reconsidering the participated node again in clustering formation could help in creation of better cluster, forming better routes as well as in conserving the cluster head energy.