NDLI: Distributed Intermittent Fault Diagnosis in Wireless Sensor Networks Using Clustering

Content Provider	IEEE Xplore Digital Library
Author	Banerjee, N. Khilar, P.M.
Copyright Year	2010
Abstract	Wireless sensor networks (WSNs) are an important tool for monitoring distributed remote environments. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. It is well known that the distributed fault detection (DFD)scheme checks out the failed nodes by exchanging data and mutually testing among neighbor nodes in this network. But the fault detection accuracy of aDFD scheme would decrease rapidly when the number of neighbor nodes to be diagnosed is small and the node’s failure ratio is high. In this paper, aDFD scheme using clustering is proposed which satisfies three important diagnosis properties such as consistency, completeness and accuracy. These properties have been also proved. Simulation results demonstrate that the proposed DFD scheme increases the fault detection accuracy in comparison with a DFD scheme without clustering.
Starting Page	264
Ending Page	269
File Size	313980
Page Count	6
File Format	PDF
ISBN	9781424479634
DOI	10.1109/ICIIC.2010.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-05
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Fault diagnosis Temperature measurement Wireless sensor networks Accuracy Wireless Sensor Network Fault detection Clustering algorithms Clustering Node Failure Ratio Distributed Fault Detection Intermittent Fault
Content Type	Text
Resource Type	Article

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