• DocumentCode
    3019957
  • Title

    Distributed fault-tolerant mechanism based on critical nodes detection in sensor networks

  • Author

    Wang Lili ; Huang Cheng ; Xu Zhiliang ; Wu Xiaobei

  • Author_Institution
    Dept. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    407
  • Lastpage
    412
  • Abstract
    Connectivity is a crucial quality of service measure in wireless sensor networks. However, the network is always at risk of being split into several disconnected components owing to sensor failures caused by various factors. To handle the connectivity problem, this paper introduces an in-advance mechanism to prevent network partitioning in the initial deployment phase. The approach is implemented in a distributed manner, and every node only needs to know local information of its 1-hop neighbors, which makes the approach scalable to large networks. In the proposed mechanism, the critical nodes are locally detected by a critical node detection algorithm (CND) based on the concept of maximal simplicial complex, and backups are arranged to tolerate their failures. The choice of parameters used in the algorithm is also discussed in detail. Finally, we demonstrate the effectiveness of the proposed algorithm through simulation experiments.
  • Keywords
    fault tolerance; quality of service; wireless sensor networks; critical node detection algorithm; critical nodes detection; distributed fault tolerant mechanism; in-advance mechanism; maximal simplicial complex; wireless sensor networks; Computers; Conferences; Mechatronics; fault tolerance; network connectivity; partitioning; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885104
  • Filename
    6885104