• DocumentCode
    3003657
  • Title

    Cooperative robust localization against malicious anchors based on semi-definite programming

  • Author

    Dexin Wang ; Liuqing Yang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO, USA
  • fYear
    2012
  • fDate
    Oct. 29 2012-Nov. 1 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Location awareness for wireless sensor networks has attracted significant interests in recent years. In hostile environments, there may be malicious attacks to mislead the location estimation of target nodes. In this paper, we propose a novel secured localization method by applying cooperative semi-definite programming (SDP) algorithm. We also introduce residual normalization to improve the SDP approximation. Cooperation enhances the capability to identify the compromised anchors and the accuracy of location estimation. SDP improves the reliability of the algorithm and the out-of-convex-hull performance. Simulation results are provided to demonstrate the aforementioned improvements.
  • Keywords
    cooperative communication; military communication; mobility management (mobile radio); telecommunication security; cooperative robust localization; cooperative semi-definite programming algorithm; location awareness; location estimation; malicious anchors; malicious attacks; secured localization method; target nodes; wireless sensor networks; Accuracy; Approximation methods; Distance measurement; Estimation; Manganese; Optimization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012
  • Conference_Location
    Orlando, FL
  • ISSN
    2155-7578
  • Print_ISBN
    978-1-4673-1729-0
  • Type

    conf

  • DOI
    10.1109/MILCOM.2012.6415656
  • Filename
    6415656