• DocumentCode
    133626
  • Title

    Optimal policies for two-user energy harvesting device networks with imperfect state-of-charge knowledge

  • Author

    Del Testa, Davide ; Zorzi, Michele

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
  • fYear
    2014
  • fDate
    9-14 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Energy Harvesting Devices (EHDs) are enjoying continuously increasing popularity in Wireless Sensor Network research, due to their ability to “harvest” energy from the environment, thus allowing long-term and autonomous operation. Traditional approaches generally assume that the exact energy value of the State-of-Charge (SOC) of an EHD is known. In reality, batteries are practically composed by electro-chemical rechargeable elements or super-capacitors, where the estimation of the energy levels is a complex task. In this paper, we analyze operation policies able to maximize the long-term reward for a network consisting of a pair of EHDs and a central controller (CC), under imperfect knowledge of the SOC. More precisely, we suppose that the CC only knows whether each EHD is “LOW” or ”HIGH,”and has to determine the amount of energy devoted to the transmission over a shared wireless channel. We show that the performance degradation due to the imperfect knowledge of the SOC decreases with the battery capacity of the two nodes, and is practically negligible when this value is sufficiently high.
  • Keywords
    energy harvesting; estimation theory; optimisation; power aware computing; EHD; SOC; batteries; battery capacity; central controller; electrochemical rechargeable elements; energy harvesting devices; energy levels estimation; exact energy value; long-term reward; operation policies; shared wireless channel; state-of-charge; supercapacitors; wireless sensor network research; Batteries; Energy harvesting; Optimization; System-on-chip; Throughput; Uncertainty; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop (ITA), 2014
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/ITA.2014.6804264
  • Filename
    6804264