DocumentCode :
2353604
Title :
Fault tolerant WSN-based structural health monitoring
Author :
Liu, X. ; Cao, J. ; Bhuiyan, Md ; Lai, S. ; Wu, H. ; Wang, G.
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
37
Lastpage :
48
Abstract :
Fault tolerance in wireless sensor networks (WSNs) has been studied extensively by computer science researchers and they proposed many fault-tolerant schemes for various applications including target and event detection. However, these schemes would fail in a particular application of WSNs: structural health monitoring (SHM). Different from other applications of WSNs, detecting structural damage requires significant amount of civil domain knowledge and utilizes different detection model. Meanwhile, researchers in civil engineering also proposed some fault-tolerant SHM algorithms. However, these algorithms are all centralized and not applicable to resource-limited wireless sensor networks. To our best knowledge, we are the first to address fault tolerance problem in WSN-based SHM. We target faulty sensor reading, one of the most difficult types of sensor fault to be detected, and propose a fault-tolerant SHM approach. The proposed approach is lightweight and it is able to disambiguate structural damage from sensor faults. The effectiveness of the proposed approach is demonstrated through both simulation and real implementation.
Keywords :
condition monitoring; fault tolerance; structural engineering computing; wireless sensor networks; civil domain knowledge; civil engineering; event detection; fault tolerant WSN based structural health monitoring; resource limited wireless sensor networks; structural damage detection; target detection; Clustering algorithms; Fault tolerance; Fault tolerant systems; Monitoring; Shape; Vibrations; Wireless sensor networks; clustering; fault tolerance; structural health monitoring; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable Systems & Networks (DSN), 2011 IEEE/IFIP 41st International Conference on
Conference_Location :
Hong Kong
ISSN :
1530-0889
Print_ISBN :
978-1-4244-9232-9
Electronic_ISBN :
1530-0889
Type :
conf
DOI :
10.1109/DSN.2011.5958205
Filename :
5958205
Link To Document :
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