To achieve the dynamic formation of cluster size and to reduce the overload of the cluster. Resizing of clusters is based on balancing the load by applying Link Expiration time which is calculated using Gauss Markov Model. We relate the formation of cluster based on Gauss Markov Model and link period between the nodes is calculated using the Link Expiration Time (LET). This is done by forming the Hybrid Algorithm from above stated models. Our results indicate the reduction and increase in size of clusters automatically based on the allocated load in the network and reducing the overload in the intracluster formation.
In REF , they used the resizing of clusters to balance the load in the network by merging of clusters, splitting of clusters, or forming new clusters.
Clustering Algorithm to Reduce the Overheads and to Balance the Load Using an Hybrid Algorithm in Gauss Markov Model
International Journal of Computer and Electrical Engineering
Computer Science