Fuzzy Controller Based Unequal Clustering Algorithm with Fault Tolerance


  • Chuhang Wang Changchun Normal University
  • Huangshui Hu Changchun University of Technology




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


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.

Author Biographies

Chuhang Wang, Changchun Normal University

College of Computer and Science, Vice Professor

Huangshui Hu, Changchun University of Technology

College of Computer Science and Engineering, Vice Professor




How to Cite

Wang, C., & Hu, H. (2017). Fuzzy Controller Based Unequal Clustering Algorithm with Fault Tolerance. International Journal of Online and Biomedical Engineering (iJOE), 13(12), pp. 174–191. https://doi.org/10.3991/ijoe.v13i12.7263