• DocumentCode
    1823960
  • Title

    Battery Lifetime Prediction Model for a WSN Platform

  • Author

    Kerasiotis, Fotis ; Prayati, Aggeliki ; Antonopoulos, Christos ; Koulamas, Christos ; Papadopoulos, George

  • Author_Institution
    Dept. of ECE, Univ. of Patras, Rio, Greece
  • fYear
    2010
  • fDate
    18-25 July 2010
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    Wireless Sensor Network devices have by nature limited available energy to perform a wide range of demanding tasks. In order to maximize their operation lifetime, optimal resource management is an important challenge and its success requires methodical modeling of the factors contributing to the overall power consumption. Moreover, the power consumed is not always useful on its own, but it should rather express the expected lifetime concerning the device´s normal operation. To achieve such awareness, this paper contributes with a measuring methodology which involves combining power consumption of platform elementary functionalities with battery discharge characteristics, so that a practical, yet accurate battery lifetime prediction model can be formed.
  • Keywords
    power consumption; remaining life assessment; wireless sensor networks; battery discharge characteristics; battery lifetime prediction model; optimal resource management; platform elementary functionalities; power consumption; wireless sensor network devices; Batteries; Current measurement; Discharges; Light emitting diodes; Power demand; Power measurement; Wireless sensor networks; battery lifetime modeling; embedded systems; power consumption; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Technologies and Applications (SENSORCOMM), 2010 Fourth International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4244-7538-4
  • Type

    conf

  • DOI
    10.1109/SENSORCOMM.2010.85
  • Filename
    5558125