Cluster Based Stretch and Shrink Method for Manet Using Load Balancing, Nearest Neighbor and Rule Mining

Mobile Ad hoc Network is a collection of autonomous wireless nodes, in which each node changes its geographical position frequently and acts as a router to forward packets. The topology stability and network scalability are playing a significant role in mobile ad hoc to determining the network performance. Hence an attempt has been made to analyze the factors such as nearest neighbor and association rule mining in the ad hoc network’s bench mark algorithms such as LCA2, load balance, adaptive multi-hop algorithm and Basagni’s DCA, and DMAC to form a clustered mobile ad hoc network. Motivated by this understanding, the cluster based stretch and shrink method has been proposed to improve the stability of network.