• DocumentCode
    1986204
  • Title

    Mobile Anchor Nodes Aided DV-hop (M-A-DV-hop) Algorithm

  • Author

    Zeliang Wang ; Lihua Wang

  • Author_Institution
    Inf. Eng. Inst., Huangshan Univ., Huangshan
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    312
  • Lastpage
    315
  • Abstract
    Evolving networks of ad-hoc, wireless sensing nodes rely heavily on the ability to obtain position information. In this paper we first briefly analyze the theory of DV-hop algorithm. And with simulation results, we realize that the high anchor node ratio and node deployment density can improve the localization precision in random wireless sensor networks. However, this will increase the hardware cost and in static networks the anchor nodes will not be needed after all unknown nodes have their location information. So we introduce mobile anchor nodes when the network only has sparse nodes. We advise a novel method to add new nodes in the research area. The mobile anchor nodes use the random way point (RWP) model, which is widely used in the ad-hoc networks. The simulation results demonstrate that the mobile anchor nodes can greatly reduce the hardware cost and distinctly improve the localization precision.
  • Keywords
    ad hoc networks; mobile radio; random processes; wireless sensor networks; DV-hop algorithm; ad-hoc network; mobile anchor node; random way point model; random wireless sensor network; wireless sensing node; Ad hoc networks; Algorithm design and analysis; Computational modeling; Computer science; Costs; Educational technology; Geoscience and remote sensing; Hardware; Mathematical model; Wireless sensor networks; RWP; mobile anchor node; node redployment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.179
  • Filename
    5070159