A Mamdani fuzzy inference based trusted cluster-head election algorithm for wireless sensor networks

A trusted cluster-head election algorithm based on Mamdani fuzzy inference (TCEM) is proposed to resolve the security issue of cluster-based routing in wireless sensor networks caused by malicious nodes selected as a cluster-head. According to nodes' behaviors, the TCEM applies the Bayes' theorem to evaluation of nodes' trust-value, and on the basis of this, performs the calculation of nodes' advantage using the Mamdani method with the combination of the concentration and the centrality so as to select the optimal nodes as trusted cluster-heads. The simulation results show that the TCEM can effectively prevent malicious nodes from being cluster-heads, and has the better performances both in proper distributing of cluster-heads and in improving the energy efficiency of the networks.