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《Chinese Journal of Scientific Instrument》 2012-10
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Fault detection technique based on clustering in WSNs

Song Jia,Peng Yu,Peng Xiyuan,Yuan Jianbo,Ge Zihan(Automatic Test and Control Institute,Harbin Institute of Technology,Harbin 150080,China)  
Energy consumption is vital in wireless sensor networks(WSNs) since node death is a typical fault caused by energy depletion.Aiming at this fault,a fault detection technique based on clustering(FDTC) is proposed in this paper.Employing carefully-chosen threshold,the clustering algorithm is deployed on the sink node with unconstrained energy consumption on the basis of dividing the WSNs into clusters according to their geographical position.Simulation experiment results demonstrate that by choosing appropriate threshold,this algorithm greatly reduces energy consumption and false alarm probability while still maintains high detection accuracy.
【Fund】: 教育部高等学校博士学科点专项科研基金(20092302110013);; 教育部新世纪优秀人才支持计划(NCET-10-0062)资助项目
【CateGory Index】: TP212.9;TN929.5
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