An Efficient Cluster Head Election Algorithm for Client Mesh Network Using Fuzzy Logic Control

Enough attention has not been paid to the client nodes in the wireless mesh networks (WMNs) architecture which tend to improve quality of service of the networks if well managed with a cluster structure. In this paper, a fuzzy logic control clustering algorithm (FLCCA) is proposed for client nodes in WMNs. A detailed process for the fuzzification of client node parameters used in the selection of optimal clusterheads is presented. Three client node parameters considered in our proposal are node mobility speed, traffic delivery capacity and the cost of service. We presented an algorithm which uses fuzzy logic control to produce score value for each client nodes based on the parameters for the clusterheads selection. Simulation experiments were used in evaluating the performance of FLCCA and the results show that FLCCA performs better than Distributed Fuzzy Score based Clustering Algorithm (DFSCA).