| Summary: | Enough attention has not been paid to the client nodes
in the wireless mesh networks architecture which
tend to also improve quality of service of WMNs 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 cluster heads to obtain low control overheads and highly stable clusters is presented. Three client node parameters considered in our proposal are node mobility speed, traffic delivery capacity and the cost of service with the goals to build stable cluster structure with lowest number of clusters formation and minimize the overhead for the clustering and maintenance. The algorithm applied fuzzy logic
control to produce score value for each client nodes
based on the three parameters for the cluster heads to
be selected. Simulation experiments were conducted
to evaluate the performance of FLCCA in terms of
the number of clusters formed, reaffiliation count and
clustering control overheads. The simulation results
show that FLCCA performs better than Distributed
Fuzzy Score based Clustering Algorithm (DFSCA).
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