NDLI: An improved distributed Bayesian algorithm for fault-tolerant detection in electromagnetic spectrum monitoring sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Zhang Yu Zhao Hangsheng Liu Qiongli
Copyright Year	2011
Description	Author affiliation: Nanjing Telecommunication Technology Institute, 210007, Nanjing, China (Zhang Yu; Zhao Hangsheng) \|\| Tai Yuan Satellite Launch Center, 036303, Kelan, China (Liu Qiongli)
Abstract	Electromagnetic spectrum monitoring sensor networks (ESMSNs) have become a new distributed solution for the electromagnetic spectrum monitoring and attracted a large scholars' attention due to its better detection performance. However, the detection performance of ESMSNs will decrease rapidly when the faults occur to the monitoring sensor nodes, which result from the node device itself and the harsh or hostile environment where they are deployed. The distributed Bayesian algorithm was proposed to correct some errors resulted from the sensor faults. But new errors were introduced while correcting errors. Therefore, it is necessary to do some further research on the distributed fault-tolerant detection for ESMSNs. We propose an improved distributed Bayesian algorithm for fault-tolerant detection in ESMSNs and investigate the performance of detecting and correcting such faults. Analysis and Simulation results show the proposed algorithm can perform better than the distributed Bayesian algorithm and the proposed algorithm can still obtain higher reduction in the average number of errors when the probability of the monitoring sensor node fault is high.
Starting Page	1
Ending Page	5
File Size	566953
Page Count	5
File Format	PDF
ISBN	9781457710094
e-ISBN	9781457710100
e-ISBN	9781457710087
DOI	10.1109/WCSP.2011.6096702
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Wireless sensor networks Fault tolerance Reduction Bayesian methods Fault tolerant systems Distributed Bayesian algorithm Electromagnetic spectrum Electromagnetic spectrum monitoring sensor networks Monitoring Fault-tolerant detection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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