Title :
A Fuzzy Knowledge Based Fault Tolerance Algorithm in Wireless Sensor Networks
Author :
Chang, Shih-Hao ; Huang, Teh-Sheng
Author_Institution :
Intel-NTU Connected Context Comput. Center, Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
In this paper, we introduce a new knowledge based for fault detection and diagnosis using fuzzy logic approach and challenge approach in wireless Sensor Networks (WSNs). We develop a fault detection, isolation, and recovery algorithm based on the communication framework and show how this model works to diagnose fault nodes. We use a simple fuzzy knowledge based control approach to help diagnose faulty communication between sensor nodes which provide fault detection and isolation (FDI) to eliminate faulty communication behaviour nodes impact to senor networks. Moreover, our algorithm also concern erroneously behaves nodes tolerance can ensure that faulty nodes sharing incorrect data under certain quantities can be tolerate and eliminate in the network. Thus guarantee that data fusion in WSNs can gather reliable data from proper sinks only.
Keywords :
fault diagnosis; fuzzy logic; knowledge based systems; sensor fusion; telecommunication computing; wireless sensor networks; data fusion; fault detection and isolation; fault diagnosis; fault recovery; faulty communication; fuzzy knowledge based fault tolerance algorithm; fuzzy logic approach; sensor nodes; wireless sensor networks; Fault detection; Fault tolerance; Fault tolerant systems; Knowledge based systems; Software; Wireless sensor networks; Byzantine behaviour; Fault tolerance; Fuzzy knowledge based control; Wireless sensor networks; fault diagnosis and isolation;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-0867-0
DOI :
10.1109/WAINA.2012.48