• DocumentCode
    3442618
  • Title

    An Approach of Optimizing Power in WSN with Random Topology under Rayleigh Channels

  • Author

    Shao-qing Wang ; Jing-nan Nie

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The paper proposes an approach of optimizing transmit power in wireless sensor networks with random topology in order to prolong node lifetime. It defines optimal transmit power as the minimum transmit power used by all nodes necessary to guarantee end-to-end bit error rate (BER) requirement. Assuming Rayleigh fading channels and two- dimensional Poisson topology, we bring nearest with forward progress (NFP) routing strategy and enhanced Aloha protocol into the SINR model. On the basis of the SINR model, we derive the expression of optimal transmit power and investigate the tradeoff among the average lifetime of nodes, transmit power and node density. The numerical results demonstrate that optimal transmit power can try its best to prolong node lifetime in the precondition of guaranteeing end-to-end bit error rate (BER) requirement. Besides, increasing the forwarding angle epsiv can decreases the optimal transmit power.
  • Keywords
    Rayleigh channels; error statistics; fading channels; telecommunication network topology; wireless sensor networks; 2D Poisson topology; Aloha protocol; Rayleigh channels; Rayleigh fading channels; SINR model; end-to-end bit error rate; minimum transmit power; optimal transmit power; power optimization; random topology; wireless sensor networks; Bit error rate; Energy consumption; Network topology; Power engineering and energy; Power system modeling; Programmable logic arrays; Rayleigh channels; Routing protocols; Signal to noise ratio; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.969
  • Filename
    4678877