Clustering Approach in Route Selection Using Mobile Agent in Mobile Ad-Hoc Network

Cluster-based mechanisms in ad hoc networks not only make a large network appear smaller, but more importantly. In our scheme, each MN is disseminated to predict its own mobility pattern, and this information is disseminated to its neighbors using a scalable clustering algorithm. The work proposes a prediction based Clustering Approach for Route Discovery Protocol (CARDP)using Mobile Agent in Mobile ad-hoc Network. This paper presents a scalable way to predict mobility, and thus availability of MNs which is achieved with the virtual cluster and it is named as (b,e,m) model. Here we compare our work with other three algorithms in term of cluster head stability. Our clustering algorithm enables adaptability, autonomy, economy, scalability and survivability requirements in managing ad hoc networks by adopting Mobile Agent–Based clustering Approach. In our result cluster stability is measured and improved using clustering