• DocumentCode
    1865927
  • Title

    An iterative algorithm for optimizing the conditional lifetimes of distributed sensors

  • Author

    Dagher, Joseph C. ; Marcellin, Michael W. ; Neifeld, Mark A.

  • Author_Institution
    Univ. of Arizona, Tucson
  • fYear
    2007
  • fDate
    Jan. 29 2007-Feb. 2 2007
  • Firstpage
    261
  • Lastpage
    267
  • Abstract
    A provably optimal algorithm is developed for maximizing the lifetime of sensor networks. The algorithm attempts to find a Pareto Optimal solution in an iterative fashion. In the first iteration, the minimum lifetime of the network is maximized. If the solution is not Pareto Optimal a second iteration is performed which maximizes the second minimum lifetime subject to the minimum lifetime being maximum. At the nth iteration, the algorithm maximizes the nth minimum lifetime subject to the (n - 1)th minimum lifetime being maximum, subject to the (n -2)th minimum lifetime being maximum, etc. The algorithm can be stopped at any iteration n.
  • Keywords
    Pareto optimisation; distributed sensors; iterative methods; sensor fusion; Pareto Optimal solution; conditional lifetimes; distributed sensors; iterative algorithm; optimal algorithm; sensor networks; Base stations; Costs; Educational institutions; Iterative algorithms; Linear programming; Optical fiber networks; Optical sensors; Optical signal processing; Research and development; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop, 2007
  • Conference_Location
    La Jolla, CA
  • Print_ISBN
    978-0-615-15314-8
  • Type

    conf

  • DOI
    10.1109/ITA.2007.4357590
  • Filename
    4357590