• DocumentCode
    732268
  • Title

    WSN power management with battery capacity estimation

  • Author

    Mokrenko, O. ; Vergara-Gallego, M.-I. ; Lombardi, W. ; Lesecq, S. ; Albea, C.

  • Author_Institution
    LETI, CEA, Grenoble, France
  • fYear
    2015
  • fDate
    7-10 June 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Wireless sensor nodes are now cheap and reliable enough to be deployed in different environments. However, their limited energy capacity limits their lifespan. In this paper, a Management strategy at network-level of a set of nodes is implemented, taking into account an estimation of the remaining energy in each sensor node. The control formulation is based on Model Predictive Control with constraints and binary optimization variables, leading to a Mixed Integer Quadratic Programming problem. The estimation of the remaining energy in batteries must be simple enough to be implemented in low-cost, low-power, low-computational-capability sensor nodes.
  • Keywords
    integer programming; predictive control; quadratic programming; telecommunication power management; wireless sensor networks; WSN power management; battery capacity estimation; binary optimization variable; energy capacity limit; energy estimation; mixed integer quadratic programming problem; model predictive control; wireless sensor node; Batteries; Calibration; Estimation; Silicon; System-on-chip; Tin; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2015 IEEE 13th International
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2015.7182060
  • Filename
    7182060