Distributed outlier detection algorithm based on credibility feedback in wireless sensor networks. Issue 8 (31st May 2017)

• Record Type: Journal Article
• Authors: Feng, Hailin; Liang, Lun; Lei, Hua
• Is Part Of: IET communications. Volume 11:Issue 8(2017)
• Page Start: 1291
• Page End: 1296
• Publication Date: 2017-05-31
• Subjects: wireless sensor networks -- Bayes methods -- distributed algorithms; credibility feedback -- wireless sensor networks -- distributed outlier detection algorithm -- Bayesian theorem -- detection accuracy -- false alarm rate; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2016.0986
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : This study proposes a distributed outlier detection algorithm based on credibility feedback in wireless sensor networks. The algorithm consists of three stages, which are evaluating the initial credibility of sensor nodes, evaluating the final credibility based on credibility feedback and Bayesian theorem, and adjusting for the outlier set. Simulation results verify that the algorithm can achieve high detection accuracy and low false alarm rate, even in the situation that the network with a large number of outliers.