• DocumentCode
    2670768
  • Title

    Effect of Utility Function on Lifetime of Directional Sensor Networks

  • Author

    Norouzi, Mandana ; Hoseini, Mojtaba ; Zhou, Chi ; Jin, Yanliang

  • Author_Institution
    Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    363
  • Lastpage
    367
  • Abstract
    Prolonging lifetime of directional sensor networks is one of the hot topics these days because of vast application of these kinds of sensors. Since, the depletion of energy from one sensor indicates a lack of information being communicated from one part of the network. Hence, managing energy consumption of each sensor becomes critical. In this paper one approach for improving sensor network lifetime based upon appropriate utility function is investigated. It is presumed that in order to extend sensor lifetime, each target requires different quality of coverage. In the first part of the paper, utility function is introduced and formulated. Then, categorizing algorithm is elucidated and the optimum candidate for utility function is presented. Lastly, simulation results show the effect of utility function on network lifetime. It is shown that by changing utility function we could obtain different network lifetime. Ultimately, using optimum utility function is a method for increasing network lifetime.
  • Keywords
    quality of service; utility theory; wireless sensor networks; categorizing algorithm; directional sensor network lifetime; energy consumption; quality of coverage; sensor lifetime; utility function; Equations; Mathematical model; Monitoring; Scheduling; Sensors; Simulation; Wireless sensor networks; Coverage; Directional Sensor Network; Lifetime; Target monitoring; utility function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-9779-9
  • Electronic_ISBN
    978-0-7695-4331-4
  • Type

    conf

  • DOI
    10.1109/GreenCom-CPSCom.2010.95
  • Filename
    5724853