• DocumentCode
    1883919
  • Title

    Prediction of the Lifetime of a Battery-Operated Video Node Using Offline and Online Measurements

  • Author

    Zhang, G. ; Manduchi, R.

  • Author_Institution
    Univ. of California, Santa Cruz
  • fYear
    2007
  • fDate
    16-18 July 2007
  • Firstpage
    64
  • Lastpage
    68
  • Abstract
    This paper presents a model for determining the first and second order statistics of the lifetime of a battery-operated node. This model assumes knowledge of the statistics of duration and consumption of the tasks that can be performed by the system, as well as of the statistics of the task occurrences and of the remaining charge in the battery. The latter may be monitored by an onboard sensor. Knowledge of the remaining lifetime is very important in order to devise an online control strategy assuring that specific requirements are met.
  • Keywords
    battery management systems; energy consumption; power measurement; remaining life assessment; wireless sensor networks; battery operated node; battery operated video node; first order statistics; lifetime prediction; offline measurements; onboard sensor; online control strategy; online measurements; second order statistics; wireless camera networks; Batteries; Cameras; Connectors; Energy consumption; Life estimation; Lifetime estimation; Monitoring; Statistics; Video compression; Wireless sensor networks; Wireless camera networks; lifetime prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Methods for Uncertainty Estimation in Measurement, 2007 IEEE International Workshop on
  • Conference_Location
    Sardagna
  • Print_ISBN
    978-1-4244-0933-4
  • Electronic_ISBN
    978-1-4244-0933-4
  • Type

    conf

  • DOI
    10.1109/AMUEM.2007.4362572
  • Filename
    4362572