• DocumentCode
    1986447
  • Title

    Channel-Aware Energy Efficient Transmission Strategies for Large Wireless Sensor Networks

  • Author

    Jeon, Hyoungsuk ; Lee, Hyuckjae ; Ha, XJeongseok ; Choi, Jinho

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Energy saving is the one of the most critical issues in wireless sensor networks (WSNs) due to limited battery power of sensor nodes. In this paper, we propose a channel-aware type-based multiple access (TBMA) scheme for longer lifetime of WSNs. In an effort to minimize data transmission which is the most energy consuming operation in a sensor device, the proposed scheme allows a subset of sensors to be opportunistically activated in TBMA when their channel gains are higher than a threshold broadcasted by the fusion center to satisfy a given detection error performance (DEP). With the assumption of the channel reciprocity in a narrowband time-division duplexing system, the activated sensors by the threshold exploit channel state information and control their transmit power in a way to maximize an error exponent of the DEP. Here, the broadcasted threshold plays a role in minimizing the number of activated sensors, and thereby it is expected to prolong the lifetime of WSNs. We analyze the DEPs of the proposed and a random selection schemes, and our results show that the proposed scheme provides significant energy saving as compared to the random selection scheme especially in the low signal-to-noise ratio regime.
  • Keywords
    time division multiplexing; wireless sensor networks; channel reciprocity; channel-aware energy efficient transmission strategies; channel-aware type-based multiple access scheme; detection error performance; energy saving; narrowband time-division duplexing system; random selection schemes; signal-to-noise ratio; wireless sensor networks; Energy consumption; Fading; IEEE Communications Society; Peer to peer computing; Power control; Signal to noise ratio; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683415
  • Filename
    5683415