• DocumentCode
    3240823
  • Title

    Evolutionary algorithm - based solutions to Maximum Lifetime Coverage problem in wireless sensor networks

  • Author

    Tretyakova, Antonina ; Seredynski, Franciszek

  • Author_Institution
    Polish-Japanese Inst. of Inf. Technol., Warsaw, Poland
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    174
  • Lastpage
    179
  • Abstract
    The paper analyzes three recently proposed algorithms, which differ not only in the method of finding solution to the Maximum Lifetime Coverage problem, but also in approaches to formulation of the problem. In order to compare the algorithms: (1) they were adapted to the common assumptions such as the same scenario of WSN work and the same characteristics, i.e. a size of target field, a number of sensors N, a sensing range Rs were used, (2) special sensor network simulator was implemented. Evaluation of lifetime was made according to introduced metrics: minT(q) and maxT(q). The paper presents the results of an experimental study. Based on the results of experiments, conclusions about the validity of the assumptions of algorithms, quality of solutions and possible improvements are drawn.
  • Keywords
    evolutionary computation; wireless sensor networks; evolutionary algorithm; maximum lifetime coverage problem; sensor network simulator; target field size; wireless sensor networks; Sensors; genetic algorithm; maximum lifetime coverage problem; memetic algorithm; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
  • Conference_Location
    Solan
  • Print_ISBN
    978-1-4673-2922-4
  • Type

    conf

  • DOI
    10.1109/PDGC.2012.6449812
  • Filename
    6449812