• DocumentCode
    3114069
  • Title

    Localization with Imprecise Distance Information in Sensor Networks

  • Author

    Cao, M. ; Anderson, B.D.O. ; Morse, A.S.

  • Author_Institution
    Yale University, m.cao@yale.edu.
  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    2829
  • Lastpage
    2834
  • Abstract
    An approach to formulate geometric relations among distances between nodes as equality constraints is introduced in this paper to study the localization problem with imprecise distance information in sensor networks. These constraints can be further used to formulate optimization problems for distance estimation. The optimization solutions correspond to a set of distances that are consistent with the fact that sensor nodes live in the same plane or 3D space as the anchor nodes. These techniques serve as the foundation for most of the existing localization algorithms that depend on the sensors´ distances to anchors to compute each sensor’s location.
  • Keywords
    Approximation methods; Art; Australia Council; Constraint optimization; Global Positioning System; Information technology; Intelligent networks; Military computing; Mobile communication; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1582592
  • Filename
    1582592