Fuzzy Controller Based Unequal Clustering Algorithm with Fault Tolerance

Chuhang Wang, Huangshui Hu


In order to solve the hot spots problem in equal wireless sensor networks, a distributed Fuzzy controller based Unequal Clustering algorithm with Fault Tolerance (FUCFT) is proposed. Fuzzy controller in FUCFT uses the residual energy, node centrality, node degree and distance to base station as input variables and outputs chance and size based on the IF-THEN rules, so as to make the optimal nodes be elected as cluster heads with appropriate cluster size. Moreover, TDMA scheme is adopted to transmit data among the clusters and tolerate the faults for the cluster heads and member nodes. Reclustering on demand is used to reduce the energy dissipation of the consecutive clustering in rounds. The simulation results indicate that FUCFT ensures load balance among clusters, and reduces the energy consumption as well as improves the network lifetime compared with its counterparts.


wireless sensor networks, unequal clustering, fuzzy logic, fault tolerance, load balance

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International Journal of Online Engineering (iJOE).ISSN: 1861-2121
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