• DocumentCode
    1995219
  • Title

    Application of Evolutionary Algorithms 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
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    445
  • Lastpage
    453
  • Abstract
    The paper analyzes three recently proposed algorithms, which differ not only in the method of finding solution to the Maximum Lifetime Coverage problem in Wireless Sensor Networks (WSN), but also approaches to a statement of the problem. In order to compare algorithms: (1) they were adapted to the common assumptions that correspond to real characteristics of sensor networks and (2) special sensor network simulator was used to study the algorithms. The paper presents the results of an experimental study and shows how the lifetime of WSN depends on a different set of algorithms parameters and WSNs parameters. Based on the results of the experiments, conclusions about the validity of the assumptions of algorithms, quality of solutions and possible improvements are drawn.
  • Keywords
    evolutionary computation; wireless sensor networks; WSN; evolutionary algorithm; maximum lifetime coverage problem; sensor network simulator; wireless sensor network; Batteries; Genetic algorithms; Memetics; Schedules; Sensors; Sociology; Wireless sensor networks; energy- efficient localized algorithm; genetic algorithm; maximum lifetime coverage problem; memetic algorithm; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-4979-8
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2013.96
  • Filename
    6650917