• DocumentCode
    2394757
  • Title

    Evaluation and Optimization of Battery-Energy-Aware PPM Schemes for Wireless Sensor Networks

  • Author

    Tang, Qiuling ; Yang, Liuqing ; Qin, Tuanfa ; Zhang, Shuyi

  • Author_Institution
    Coll. of Comput. & Electron. Inf., Guangxi Univ., Nanning
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    318
  • Lastpage
    323
  • Abstract
    Nodes in wireless sensor networks (WSNs) are typically powered by batteries. Hence, their energy conservation is a critical problem. In this paper, pulse position modulation (PPM), one of the orthogonal signaling formats, is tailored for WSNs into two schemes: mono-mode PPM and multi-mode PPM. Resorting to an idealized system model and a practical system model, which combine the power consumptions in transmission and reception modules of nodes with the idealized and realistic battery characteristics, the energy efficiencies of mono- and multi-mode PPM are evaluated and compared. To minimize the battery energy consumption (BEC), these schemes are further optimized for a link in path-loss channels. Our analytical and numerical results show that considerable energy can be saved by multi-mode PPM, and/or by the parameter optimization in terms of constellation size M, at various communication distances
  • Keywords
    energy conservation; optimisation; pulse position modulation; wireless sensor networks; battery characteristics; battery energy consumption; battery-energy-aware PPM scheme optimization; constellation size; energy conservation; energy efficiencies; idealized system model; mono-mode PPM; multi-mode PPM; orthogonal signaling formats; parameter optimization; path-loss channels; power consumptions; practical system model; pulse position modulation; reception modules; wireless sensor networks; Acoustics; Batteries; Circuits; Energy conservation; Energy consumption; Energy efficiency; Modulation coding; Power system modeling; Pulse modulation; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
  • Conference_Location
    Ft. Lauderdale, FL
  • Print_ISBN
    1-4244-0065-1
  • Type

    conf

  • DOI
    10.1109/ICNSC.2006.1673165
  • Filename
    1673165