A novel fault diagnosis mechanism for wireless sensor networks

Authors:
Zhiyang You;Xibin Zhao;Hai Wan;William N. N. Hung;Yuke Wang;Ming Gu
Affiliations:
Key Laboratory for Information System Security of Ministry of Education, School of Software, Tsinghua University, China and Computer Science Department, Tsinghua University, China;Key Laboratory for Information System Security of Ministry of Education, School of Software, Tsinghua University, China;Computer Science Department, Tsinghua University, China;Synopsys Inc., Mountain View, CA, United States;Department of Computer Science, University of Texas, Dallas, United States;Key Laboratory for Information System Security of Ministry of Education, School of Software, Tsinghua University, China
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2011

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Abstract

This paper considers a novel fault diagnosis mechanism for wireless sensor networks (WSNs). Without additional agents, the built-in and self-organized diagnosis mechanism can monitor each node in real time and identify faulty nodes. As the diagnosis is operated within a cluster of nodes, it can reduce power consumption and communication traffic. We present a modeling of the diagnosis algorithm for WSNs, with a probabilistic analysis of the local and global performances of our approach. Extensive experiments demonstrate the effectiveness of the proposed method.