• DocumentCode
    2189532
  • Title

    A Matrix Completion Approach to Reduce Energy Consumption in Wireless Sensor Networks

  • Author

    Majumdar, Angshul ; Ward, Rabab K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    542
  • Lastpage
    542
  • Abstract
    This paper proposes a new approach to save energy in a wireless sensor network (WSN) in which sensors lie on a uniform rectangular grid. At each data-acquisition/sampling instant, only a randomly selected subset of all the sensor nodes acquires and transmits the data. This problem can be solved by semi-definite programming, which is based on fixed point continuation with Bregman iterations.
  • Keywords
    energy conservation; iterative methods; wireless sensor networks; Bregman iterations; WSN; data acquisition; data sampling; data transmission; energy consumption reduction; energy saving; matrix completion approach; randomly selected subset; semidefinite programming; sensor nodes; uniform rectangular grid; wireless sensor networks; Base stations; Data compression; Energy consumption; Intelligent networks; Iterative methods; Mathematical programming; Mathematics; Minimization methods; Sampling methods; Wireless sensor networks; matrix completion; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2010
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4244-6425-8
  • Electronic_ISBN
    1068-0314
  • Type

    conf

  • DOI
    10.1109/DCC.2010.66
  • Filename
    5453497