• DocumentCode
    2170258
  • Title

    Optimal transmission policy with joint minimization on energy consumption and delay for wireless sensor networks

  • Author

    Yun Li ; Kok Keong Chai ; Yue Chen

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Univ. of London, London, UK
  • fYear
    2013
  • fDate
    17-19 Nov. 2013
  • Firstpage
    593
  • Lastpage
    597
  • Abstract
    In wireless sensor networks (WSNs), periodically switching nodes into sleep mode is an effective way to reduce the energy consumption. However, the sleep period introduces additional end-to-end delay into packet delivery. We propose an optimal transmission policy, which assigns the number of packets per node should receive at each active period to minimize the end-to-end delay and the energy consumption. We formulate the problem as a classical inventory control problem with the aim of minimizing a joint-cost of energy consumption and end-to- end delay. By applying dynamic programming (DP), we derive an optimal transmission policy as the solution to the problem. Simulation results show that the proposed transmission policy can achieve about 50% reduction in both energy consumption and end-to-end delay as compared to that of IEEE 802.15.4.
  • Keywords
    dynamic programming; energy consumption; sleep; wireless sensor networks; WSN; active period; dynamic programming; end-to-end delay; energy consumption; inventory control problem; joint minimization; optimal transmission policy; packet delivery; sleep mode; sleep period; switching nodes; wireless sensor networks; Delays; Energy consumption; IEEE 802.15 Standards; Joints; Simulation; Telecommunication traffic; Wireless sensor networks; Duty Cycle; End-to-end delay; Energy efficiency; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2013 15th IEEE International Conference on
  • Conference_Location
    Guilin
  • Type

    conf

  • DOI
    10.1109/ICCT.2013.6820444
  • Filename
    6820444