Fuzzy based parametric clustering model for mobile network

In restricted mobile network, to achieve the network optimization, the dynamic election of infrastructure control devices is done. These infrastructure controlled devices are the similar nodes with high capabilities. Clustering is about to identify these high strengths nodes that can optimize the heavy communication in network. In this paper, a fuzzy adaptive model is presented to perform cluster head selection. The fuzzy rules are here defined on cluster load and cluster density observations so that the balanced clusters will be formed. Once the clusters are formed, the communication statistics ratio is identify to obtain the cluster members. Here the stability is considered as the major vector identifies the cluster member. The experimentation is applied in Opnet with random nodes specification. The results obtained from work shows that the network reliability is improved in terms of throughput and communication loss parameters.