• DocumentCode
    2170774
  • Title

    Reduced-complexity bandwidth-constrained distributed estimation for wireless sensor networks

  • Author

    Jacobs, Trent ; Minn, Hlaing ; Al-Dhahir, Naofal

  • Author_Institution
    Univ. of Texas at Dallas, Dallas, TX
  • fYear
    2007
  • fDate
    April 30 2007-May 2 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    While elegant in form, the maximum likelihood estimator (MLE) for heavily bandwidth-constrained distributed estimation in Gaussian noise is computationally expensive to implement. We consider an alternative estimator for this case which requires far less computational complexity, yet performs close to the MLE under the same operating conditions.
  • Keywords
    Gaussian noise; bandwidth compression; maximum likelihood estimation; wireless sensor networks; Gaussian noise; maximum likelihood estimator; reduced-complexity bandwidth-constrained distributed estimation; wireless sensor networks; Bandwidth; Computational complexity; Computer networks; Distributed computing; Gaussian noise; Maximum likelihood estimation; Parameter estimation; Power transmission; Sensor fusion; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2007 IEEE
  • Conference_Location
    Nassau Inn, Princeton, NJ
  • Print_ISBN
    978-1-4244-2483-2
  • Type

    conf

  • DOI
    10.1109/SARNOF.2007.4567319
  • Filename
    4567319