• DocumentCode
    2953131
  • Title

    A minimax fair scheduling for prolonging the lifetime of Wireless Sensor Networks

  • Author

    Mao, Xiaomao ; Qiu, Peiliang

  • Author_Institution
    Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    13-15 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To prolong the lifetime of wireless sensor networks, we investigate a minimax fair scheduling in the multi-access transmission. We search for the minimax optimal power tuple in the dominant face of the multi-access power contra-polymatroid, where the sum power of the sensor nodes is minimized. Because a time sharing of the vertices can achieve any base, the searching problem is then converted to a linear optimization problem computing the time sharing coefficients. This computation problem is then divided into independent parts and solved in parallel by the sensor nodes. Simulation results show that the proposed strategy substantially prolongs the lifetime of sensor networks, compared with the TDMA transmission and energy minimized transmission. Moreover, the proposed strategy directly output the system parameters to achieve the minimax scheduling and is favorable to compute and apply in practice.
  • Keywords
    minimax techniques; scheduling; time division multiple access; wireless sensor networks; linear optimization; minimax fair scheduling; multi-access power contra-polymatroid; multi-access transmission; network lifetime; time division multiple access; time sharing; wireless sensor networks; Computational modeling; Concurrent computing; Energy efficiency; Large-scale systems; Minimax techniques; Power engineering and energy; Processor scheduling; Time sharing computer systems; Transmitters; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4856-2
  • Electronic_ISBN
    978-1-4244-5668-0
  • Type

    conf

  • DOI
    10.1109/WCSP.2009.5371687
  • Filename
    5371687