Distributed outlier detection algorithm based on credibility feedback in wireless sensor networks
Hailin Feng, Lun Liang, Lei Hua · IET Communications · 2017
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.