Fuzzy Logic Based Fault Diagnosis System for Wireless Sensor Networks

Fault diagnosis systems (FDSs) are tools designed to detect, isolate, identify, and, possibly, mitigate the occurrence of faults affecting complex systems. This paper aims to use fuzzy logic fault diagnosis for clustering the faults. Fuzzy logic system has an advantage of inbuilt cluster identification which doesn’t supported by any other FDSs. By this inbuilt clustering the identification of faulty clusters can be done very quickly compared to the other systems by which the time taken to diagnose the faults will be reduced greatly. This paper focuses on router selection based on the energy problem, and identifying and localizing the fault nodes using the cluster groups. Further the system is tested for accuracy of fault localizations Keywords— Fuzzy logic, cognitive FDS, Fault Dictionary, Evolving clustering, Adaptive learning