A Fault Tolerance Fuzzy Knowledge Based Control Algorithm in Wireless Sensor Networks
Shih‐Hao Chang, Ping-Tsai Chung, Teh-Sheng Huang · Journal of Convergence Information Technology · 2013
In this paper, we present a new knowledge based control algorithm for fault detection and diagnosis and recovery using fuzzy logic approach and challenge approach namely Fault Tolerance Fuzzy Knowledge based control in Wireless Sensor Networks (WSNs). This FTFK algorithm diagnoses faulty communication between sensor nodes providing Fault Detection and Isolation (FDI) to eliminate faulty communication behaviour nodes in the WSNs communication framework. Our algorithm also monitors erroneous behaviour of nodes to ensure that faulty nodes sharing incorrect data under certain qualities can be tolerated in the network. We have conducted a simulation study for this FTFK algorithm using the Georgia Tech Network Simulator (GTNetS). Our simulation results show that FTFK scheme can improve performance and reliability of WSNs: it expenses little bit higher energy and examine time to achieve shorter average end to end delay and better packet success ratio when a number of cluster heads failures in the WSNs.