• DocumentCode
    3519939
  • Title

    Ranging energy optimization for robust sensor positioning

  • Author

    Wang, Tao ; Leus, Geert ; Neirynck, Dries ; Shu, Feng ; Huang, Li

  • Author_Institution
    Dept. Electr. Eng., Delft Univ. of Technol., Delft
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2237
  • Lastpage
    2240
  • Abstract
    We address ranging energy optimization for an unsynchronized localization system, which features robust sensor positioning, in the sense that specific accuracy requirements are fulfilled within a prescribed service area. Optimization problems related to the ranging energy of a sensor and beacons are proposed, after which a practical algorithm based on semidefinite programming is presented. The effectiveness of the algorithm is illustrated by a numerical experiment.
  • Keywords
    mathematical programming; wireless sensor networks; beacons; ranging energy optimization; robust sensor positioning; semidefinite programming; unsynchronized localization system; Central Processing Unit; Energy efficiency; Gaussian distribution; Maximum likelihood estimation; Power system reliability; Robustness; Sensor fusion; Sensor systems; Sufficient conditions; Wireless sensor networks; Cramér-Rao bound; localization; semidefinite programming;
  • 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.2009.4960064
  • Filename
    4960064