• DocumentCode
    3520757
  • Title

    Time-varying Opportunistic Protocol for maximizing sensor networks lifetime

  • Author

    Cohen, Kobi ; Leshem, Amir

  • Author_Institution
    Sch. of Eng., Bar-Ilan Univ., Ramat-Gan
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2421
  • Lastpage
    2424
  • Abstract
    We consider transmission scheduling by medium access control (MAC) protocols for energy limited wireless sensor networks (WSN) in order to maximize the network lifetime. Time-varying opportunistic protocol (TOP) for maximizing the network lifetime is proposed. By executing TOP each sensor exploits local channel state information (CSI) and local residual energy information (REI). TOP implements opportunistic strategy in terms of favoring sensors with better channels when the network is young, while less opportunistic and more conservative strategy in terms of prioritizing sensors with higher residual energy when the network is old. TOP significantly simplifies the implementation of carrier sensing as compared to other distributed MAC protocols. Simulation results show that TOP achieves significant performance gains over other distributed MAC protocols.
  • Keywords
    access protocols; scheduling; time-varying channels; wireless sensor networks; MAC protocols; channel state information; medium access control protocols; residual energy information; sensor networks lifetime; time-varying opportunistic protocol; transmission scheduling; wireless sensor networks; Access protocols; Channel state information; Computational complexity; Energy efficiency; Fading; Media Access Protocol; Processor scheduling; Sensor phenomena and characterization; Stochastic processes; Wireless sensor networks; Wireless sensor networks; network lifetime; opportunistic Medium Access Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960110
  • Filename
    4960110