• DocumentCode
    3016347
  • Title

    Distributed Gauss-Newton method for localization in Ad-hoc networks

  • Author

    Béjar, Benjamín ; Belanovic, Pavle ; Zazo, Santiago

  • Author_Institution
    ETS Ing. de Telecomun., Univ. Politec. de Madrid, Madrid, Spain
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1452
  • Lastpage
    1454
  • Abstract
    Energy efficiency, scalability and robustness are key features of Ad-hoc and Wireless Sensor Networks and the use of decentralized algorithms is of practical importance in such scenarios. A method for node localization is proposed by solving a nonlinear least-squares problem in a distributed fashion. For that purpose we propose a Gauss-Newton algorithm with embedded consensus that requires only local communication and converges to the centralized version.
  • Keywords
    Gaussian processes; Newton method; ad hoc networks; least squares approximations; sensor placement; ad hoc networks; decentralized algorithms; distributed Gauss-Newton method; energy efficiency; node localization; nonlinear least-squares problem; wireless sensor networks; Ad hoc networks; Algorithm design and analysis; Artificial neural networks; Network topology; Sensors; Technological innovation; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757776
  • Filename
    5757776