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Vol. 158, Issue 11, November 2013, pp. 190-194




A Fault-Event Detection Model Using Trust Matrix in WSN
1,2 Na WANG, 1 Yi-Xiang CHEN

1 Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, 200062, China

2 School of Computer and information, Shanghai Second Polytechnic University, Shanghai, 201209, China
Tel.: 086+02150214252
E-mail: wnoffice@126.com


Received: 18 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: Sensor nodes and wireless links are prone to failure, while the network is also open to various malicious attacks. When detecting faults, one of the most important tasks is to distinguish an event from fault with discarding irrelevant data by computing over the data as it flows through the sensors. We investigate a method of fault and event detection using trust model in WSN based on similarity matrix. We use similarity matrix to distinguish groups from each other in one cluster. Then cluster head sends the result to its parent where event nodes will be selected from abnormal set according to members in other sets from other cluster heads at the same level.


Keywords: Fault, Event, Similarity, Matrix, Trust model.


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