• DocumentCode
    2730304
  • Title

    The contract net based task allocation algorithm for wireless sensor network

  • Author

    Chen, Lin ; Xue-song, Qiu ; Yang, Yang ; Gao, Zhipeng ; Qu, Zheng

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    1-4 July 2012
  • Abstract
    Since wireless sensor network has limited resources, it´s important to design its task allocation algorithm reasonably to reduce energy consumption. The contract net is simple and flexible so that it can meet the needs of the wireless sensor network. In this paper, we introduce the improved C-MEANS algorithm to cluster nodes to decrease the number of bidders, and at the same time, the LMS algorithm is adopted to predict the bid value of the nodes. The simulation results show that the energy consumption and traffic flow are reduced, and the bid value more accurately reflects the status of the node when allocated tasks, which increased the complete rate of network tasks.
  • Keywords
    energy consumption; least mean squares methods; wireless sensor networks; C-MEANS algorithm; LMS algorithm; contract net; energy consumption; task allocation algorithm; wireless sensor network; Contracts; Energy consumption; Least squares approximation; Prediction algorithms; Protocols; Resource management; Wireless sensor networks; C-MEANS LMS; contract net; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications (ISCC), 2012 IEEE Symposium on
  • Conference_Location
    Cappadocia
  • ISSN
    1530-1346
  • Print_ISBN
    978-1-4673-2712-1
  • Electronic_ISBN
    1530-1346
  • Type

    conf

  • DOI
    10.1109/ISCC.2012.6249362
  • Filename
    6249362