Mobile Ad Hoc Networks are known to be dynamic in nature and have no rigid or reliable network infrastructure by their very definition. They are expected to be self-governed and have dynamic wireless links which are not entirely reliable in terms of connectivity and security. In this paper, we aim to divide the network into cluster to achieve better stability and scalability. Several parameters could assist the reliability of the clusters and which could result in nodes being elected as a cluster head i.e. Node Mobility, Node Degree, Distance of Node, which in turn could impact the performance of the entire network. We propose Fuzzy C means to obtain the optimal number of clusters by using fuzzy membership functions for decision making in the cluster election. We have done the simulation using MATLAB and trimf membership function. The results indicate that the Node Mobility has the most powerful influence on determination of the cluster head.

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