• DocumentCode
    3092017
  • Title

    Semidefinite programming for ad hoc wireless sensor network localization

  • Author

    Biswas, Pratik ; Ye, Yinyu

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • fYear
    2004
  • fDate
    26-27 April 2004
  • Firstpage
    46
  • Lastpage
    54
  • Abstract
    We describe an SDP relaxation based method for the position estimation problem in wireless sensor networks. The optimization problem is set up so as to minimize the error in sensor positions to fit distance measures. Observable gauges are developed to check the quality of the point estimation of sensors or to detect erroneous sensors. The performance of this technique is highly satisfactory compared to other techniques. Very few anchor nodes are required to accurately estimate the position of all the unknown nodes in a network. Also the estimation errors are minimal even when the anchor nodes are not suitably placed within the network or the distance measurements are noisy.
  • Keywords
    ad hoc networks; convex programming; distance measurement; error analysis; estimation theory; minimisation; wireless sensor networks; SDP relaxation based method; ad hoc network; anchor nodes; distance measurements; distance measures; erroneous sensors; error minimization; estimation errors; observable gauges; optimization problem; point estimation; position estimation problem; semidefinite programming; sensor positions; wireless sensor networks localization; Acoustic sensors; Algorithm design and analysis; Estimation error; Mathematical programming; Permission; Position measurement; Sensor phenomena and characterization; Software algorithms; Temperature sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2004. IPSN 2004. Third International Symposium on
  • Print_ISBN
    1-58113-846-6
  • Type

    conf

  • DOI
    10.1109/IPSN.2004.1307322
  • Filename
    1307322