• DocumentCode
    176032
  • Title

    On deployment optimization strategy for hybrid wireless sensor networks

  • Author

    Ying Zhang ; Zhao Wei

  • Author_Institution
    Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    1875
  • Lastpage
    1880
  • Abstract
    For a hybrid sensor network constructing with static nodes and mobile nodes, adjusting the position of the mobile nodes can improve network coverage and target detection rate effectively. In this paper, we present the “Bidding” protocol based on probability detection model, and then propose a distributed covering algorithm DPFA (Distributed Potential Field Algorithm) for hybrid wireless sensor network based on artificial potential field. The coverage holes generate a gravitational field, which generates a virtual force to determine the mobile node´s motion paths. Simulation results show that DPFA algorithm significantly increase the effective coverage of the network compared to the “Bidding” protocol.
  • Keywords
    mobile radio; object detection; optimisation; protocols; statistical distributions; wireless sensor networks; DPFA; DPFA algorithm; artificial potential field; bidding protocol; coverage holes; deployment optimization strategy; distributed covering algorithm; distributed potential field algorithm; gravitational field generation; hybrid wireless sensor network coverage; mobile node motion path determination; probability detection model; static mobile node position adjustment; target detection rate; virtual force generation; Force; Mobile nodes; Optimization; Protocols; Wireless sensor networks; Artificial potential field approach; Bidding protocol; Hybrid wireless sensor network; Optimal deployment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852475
  • Filename
    6852475