• DocumentCode
    2668089
  • Title

    Energy Efficient Scheduling with Individual Packet Delay Constraints: Offline and Online Results

  • Author

    Chen, Wanshi ; Neely, Michael J. ; Mitra, Urbashi

  • Author_Institution
    Qualcomm Inc. San Diego, San Diego
  • fYear
    2007
  • fDate
    6-12 May 2007
  • Firstpage
    1136
  • Lastpage
    1144
  • Abstract
    This paper focuses on energy-efficient packet transmission with individual packet delay constraints. The optimal offline scheduler (vis-a-vis total transmission energy), assuming information of all packet arrivals before scheduling, was developed by Zafer, et al. (2005) and Chen et al. (2006). This paper shows that when packet inter-arrival times are identically and independently distributed (Ltd.), the resulting optimal transmission durations of packets m and M - m +1, m epsiv [1, .. ., M], M ges 1, are identically distributed. This symmetry property leads to a simple and exact solution of the average packet delay under the optimal offline schedule. Two heuristic online scheduling algorithms, which assume no future arrival information, are then studied. These online schedulers are compared with the optimal offline scheduler in terms of delay and energy performance via analysis and simulations. While both online schedulers are inherently inferior, one online scheduler is shown to achieve a comparable energy performance to the optimal offline scheduler in a wide range of scenarios.
  • Keywords
    queueing theory; radio networks; scheduling; energy efficient scheduling; energy-efficient packet transmission; heuristic online scheduling algorithms; individual packet delay constraints; optimal offline scheduler; packet inter-arrival times; queueing delays; wireless applications; Communications Society; Delay effects; Dynamic programming; Dynamic scheduling; Energy efficiency; Low pass filters; Nonlinear filters; Optimal scheduling; Scheduling algorithm; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE
  • Conference_Location
    Anchorage, AK
  • ISSN
    0743-166X
  • Print_ISBN
    1-4244-1047-9
  • Type

    conf

  • DOI
    10.1109/INFCOM.2007.136
  • Filename
    4215718