• DocumentCode
    2946640
  • Title

    TDOA-based distance estimation for mobile beacon-assisted localization in large-scale sensor networks

  • Author

    Eunchan Kim ; Cheoloh Kang ; Hui-Sok Jung ; Yeon-Mo Yang

  • Author_Institution
    Attached Inst., ETRI, Daejeon, South Korea
  • fYear
    2012
  • fDate
    28-31 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In large-scale sensor network, self-locating a sensor node is important in order to monitor events occurring in surroundings. A distance to a reference point is key information to estimate location of a sensor node. In this paper, we propose TDOA-based distance estimation to improve accuracy in a distance to a reference point where a mobile beacon broadcast its absolute position. For locating asynchronous sensor nodes, we first model a set of TDOA-based measured distances to a mobile beacon moving along the linear tracks. Based on the model, distance estimation adopts Gauss-Newton method to minimize square errors in measurements. Through simulation, the proposed scheme shows that it can provide high accuracy in distance estimation compared to our previous work [4].
  • Keywords
    distance measurement; measurement errors; mobile radio; wireless sensor networks; Gauss-Newton method; TDOA-based distance estimation; asynchronous sensor nodes; large-scale sensor networks; linear tracks; mobile beacon-assisted localization; reference point; square errors; Accuracy; Estimation; Measurement errors; Measurement uncertainty; Mobile communication; Mobile computing; Position measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2012 IEEE
  • Conference_Location
    Taipei
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4577-1766-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2012.6411202
  • Filename
    6411202