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Distributed Fault Diagnosis of Wireless Sensor Network

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Advances in Wireless Sensor Networks (CWSN 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 501))

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Abstract

This paper considers a novel distribute fault diagnosis mechanism for wireless sensor network (WSN). Do not need additional agents, the built-in and self-organization diagnosis mechanism can monitor each node and identify fault nodes in real-time. Faulty sensor nodes are identified based on comparisons between neighboring nodes, and the testing node dissemination the status (testing result) to other neighbors, so the whole node detection is implemented. As the diagnosis is operated periodic and triggered, it can reduce energy consumption and traffic. We also proposed a new method to improve fault diagnosis rate in different average node degree. Large number of experiments demonstrate the effectiveness of this method.

Supported by the 2013 Shandong province science and technology development plan (No. 2013GGB01257) and the Colleges and Universities in Shandong Province Scientific Research Plan (No. J13LN55) and 2013 Ji’nan science and technology development plan (No. 201303217).

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Author information

Authors and Affiliations

  1. School of Information Engineering, Shandong Ying Cai University, No. 2 Yingcai Road, High-Tech Zone, Jinan, 250014, Shandong, People’s Republic of China

    Xu Huang

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  1. Xu Huang
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Correspondence to Xu Huang .

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Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Limin Sun

  2. Beijing, China

    Huadong Ma

  3. Northwest University, Xi’an, China

    Dingyi Fang

  4. Northwest University, Xi’an, China

    Jinping Niu

  5. Northwest University, Xi’an, China

    Wei Wang

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Huang, X. (2015). Distributed Fault Diagnosis of Wireless Sensor Network. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_26

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  • DOI: https://doi.org/10.1007/978-3-662-46981-1_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46980-4

  • Online ISBN: 978-3-662-46981-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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