• DocumentCode
    2848903
  • Title

    Distributed Decision Making Algorithm for Self-Healing Sensor Networks

  • Author

    Du, Xiaojiang ; Zhang, Ming ; Nygard, Kendall ; Guizani, Mohsen ; Chen, Hsiao-Hwa

  • Author_Institution
    Dept. of Computer Science, North Dakota State University, Fargo, ND 58105. Xiaojiang.Du@ndsu.edu
  • Volume
    8
  • fYear
    2006
  • fDate
    38869
  • Firstpage
    3402
  • Lastpage
    3407
  • Abstract
    Sensor nodes are unreliable small devices with limited energy supply, and sensors may run out of power or fail over time. A sensor network should have self-healing capability to handle coverage holes, routing voids and disconnections caused by random sensor locations and sensor failures. To provide self-healing capabilities in sensor networks while keeping the cost low, we propose to deploy a small number of mobile sensors in addition to a large number of static sensors. A mobile sensor may receive multiple requests from different areas. In this paper, we present a distributed decision making algorithm based on fuzzy logic. The distributed algorithm has low computation requirement and is robust to incomplete information. Our extensive simulations demonstrate the self-healing capabilities provided by mobile sensors, and the good performance of the distributed decision making algorithm.
  • Keywords
    Computer science; Costs; Distributed algorithms; Distributed computing; Distributed decision making; Fuzzy logic; Neodymium; Robustness; Routing; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2006. ICC '06. IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    8164-9547
  • Print_ISBN
    1-4244-0355-3
  • Electronic_ISBN
    8164-9547
  • Type

    conf

  • DOI
    10.1109/ICC.2006.255598
  • Filename
    4024999