Paper Info
Title
A novel fault diagnosis mechanism for wireless sensor networks
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.
Year
DOI
Venue
2011
10.1016/j.mcm.2011.02.018
Mathematical and Computer Modelling
Keywords
Field
DocType
probabilistic analysis,global performance,wireless sensor network,self-organized diagnosis mechanism,distributed system,power consumption,communication traffic,diagnosis,additional agent,faulty node,performance,diagnosis algorithm,extensive experiment,wireless sensor networks,novel fault diagnosis mechanism,self organization
Key distribution in wireless sensor networks,Mathematical optimization,Simulation,Real-time computing,Probabilistic analysis of algorithms,Wireless sensor network,Mathematics,Power consumption
Journal
Volume
Issue
ISSN
54
1-2
Mathematical and Computer Modelling
Citations 
PageRank 
References 
15
0.70
16
Authors
6
Name
Order
Citations
PageRank
Zhiyang You1362.66
Xi-Bin Zhao229030.98
Hai Wan37714.41
William N. N. Hung430434.98
Yuke Wang523425.91
Ming Gu655474.82