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Self-diagnosis method for faulty modules on wireless sensor node

Self-diagnosis method for faulty modules on wireless sensor node
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摘要 In order to diagnose the working status of each module on sensor node and make sure the wireless sensor networks (WSN) work properly, the components of sensor node and their working characteristics are studied. An on-line fault self-diagnosis method for sensor node is proposed. First, a flexible fault sensing circuit is designed as a state detection module on sensor node. Second, a self- diagnosis algorithm is proposed based on the hardware design and the failure analysis on sensor node. Finally, in order to ensure the WSN reliability, the voltage changes of each module working statuses can be observed using the state detection module and the faulty module will be found out timely. The experimental results show that this self-diagnosis method is suitable to sensor nodes in WSN. In order to diagnose the working status of each module on sensor node and make sure the wireless sensor networks (WSN) work properly, the components of sensor node and their working characteristics are studied. An on-line fault self-diagnosis method for sensor node is proposed. First, a flexible fault sensing circuit is designed as a state detection module on sensor node. Second, a self- diagnosis algorithm is proposed based on the hardware design and the failure analysis on sensor node. Finally, in order to ensure the WSN reliability, the voltage changes of each module working statuses can be observed using the state detection module and the faulty module will be found out timely. The experimental results show that this self-diagnosis method is suitable to sensor nodes in WSN.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2013年第2期271-277,共7页 北京理工大学学报(英文版)
基金 Supported by the Basic Research Foundation of Beijing Institute of Technology(200705422009)
关键词 voltage detection self-diagnose algorithm state detection module wireless sensor net- work voltage detection self-diagnose algorithm state detection module wireless sensor net- work
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  • 1Koza J R. Genetic programming; on the programming of computers by means of natural selection [M]. Cambridge, MA; MIT Press, 1992. 被引量:1
  • 2Miller J F, Job D, Vassilev V K. Principles in the evolutionary design of digital circuits-part 1 [ J]. Genetic Programming and Evolvable Machines, 2000, 1: 7 -35. 被引量:1
  • 3Avizienis A. Design diversity and the immune system paradigm: cornerstones for information system survivability [ C ] // Information Survivability Workshop. Carnegie Mellon, USA; [s. n. ], 2000 ; 27 - 36. 被引量:1
  • 4Garvie M, Thompson A. Evolution of combinatonial and sequential on-line self-diagnosing hardware [ C ] // Proceedings of the 2003 NASA/Dod Conference on Evolvable Hardware. Washington, D. C. , USA: NASA, 2003; 177 -183. 被引量:1
  • 5Harte S, Rahman A, Razeeb K M. Fault tolerance in sensor networks using self-diagnosing sensor nodes [C] //The IEEE International Workshop on Intelligent Environments. Colchester, UK: [s. n. ] , 2005: 7-12. 被引量:1
  • 6You Zhiyang, Zhao Xibin, Wan Hai. A novel fault diagnosis mechanism for wireless sensor networks [J]. Mathematical and Computer Modelling, 2011, 54(1 -2) : 330 -343. 被引量:1
  • 7Jose Luis de la Mataa, Manuel Rodrfgueza. Self-learning of fault diagnosis identification[ J]. Computer Aided Chemical Engineering, 2011(29) ;885 - 889. 被引量:1
  • 8Luo X, Dong M, Huang Y. On distributed fault-tolerant detection in wireless sensor networks [ J ]. IEEE Trans Comput, 2006(55) :58 -70. 被引量:1

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