• DocumentCode
    2263349
  • Title

    Energy Consumption Optimization in Data Transmission from Correlated Sensor Nodes

  • Author

    Yin, Liuguo ; Wang, Changmian ; Øien, Geir E.

  • Author_Institution
    NTNU, Trondheim
  • fYear
    2007
  • fDate
    17-19 Oct. 2007
  • Firstpage
    26
  • Lastpage
    30
  • Abstract
    In this paper, we focus on the energy consumption issues of data transmission from correlated sensor nodes, and an optimization algorithm is proposed for minimizing the total energy consumption of the hardware and the physical link. We perform a detailed trade-off analysis of the circuit energy consumption, the transmission energy consumption, the transmission time, the QAM constellation size, and the channel coding rate over transmission distance and correlation values, thus a new optimized transmission schedule with much lower energy consumption is obtained. Compared to the optimized uncorrelated uncoded transmission scheme, the total energy consumption may be reduced by more than 83.5% for a correlation value of 0.6 and a transmission distance of 100 meters when using the results from the proposed optimization, which is significant with respect to increasing the lifetime of a wireless sensor network.
  • Keywords
    channel coding; data communication; energy consumption; optimisation; quadrature amplitude modulation; wireless sensor networks; QAM constellation size; channel coding rate; correlated sensor nodes; data transmission; energy consumption; optimization; optimized transmission schedule; total energy consumption; transmission energy consumption; uncoded transmission; uncorrelated transmission; wireless sensor network; Channel coding; Circuits; Data communication; Energy consumption; Hardware; Performance analysis; Power system modeling; Quadrature amplitude modulation; Source coding; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication Systems, 2007. ISWCS 2007. 4th International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-0979-2
  • Electronic_ISBN
    978-1-4244-0979-2
  • Type

    conf

  • DOI
    10.1109/ISWCS.2007.4392295
  • Filename
    4392295