• DocumentCode
    3519977
  • Title

    Semi-definite programming approach to sensor network node localization with anchor position uncertainty

  • Author

    Lui, Kenneth W K ; Ma, W.-K. ; So, H.C. ; Chan, Frankie K W

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2245
  • Lastpage
    2248
  • Abstract
    The problem of node localization in a wireless sensor network (WSN) with the use of the incomplete and noisy distance measurements between nodes as well as anchor position information is currently an an important yet challenging research topic. Most WSN localization studies at present have assumed that the anchor positions are perfectly known which is not valid in the underwater and underground scenarios. In this paper, semi-definite programming (SDP) algorithms are devised for finding the localizations of unknown-position nodes in the presence of anchor position uncertainty. Computer simulations are included to contrast the performance of the proposed algorithms with the conventional SDP method and Cramer-Rao lower bound.
  • Keywords
    distance measurement; mathematical programming; wireless sensor networks; Cramer-Rao lower bound; WSN localization; anchor position uncertainty; distance measurement; semidefinite programming; sensor network node localization; wireless sensor network; Acoustic noise; Acoustic sensors; Communication system control; Distance measurement; Distributed computing; Maximum likelihood estimation; Military computing; Symmetric matrices; Uncertainty; Wireless sensor networks; node localization; range measurements; semi-definite programming; sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960066
  • Filename
    4960066