Clairvoyance and online scheduling in real-time energy harvesting systems

  • Authors:
  • Maryline Chetto;Audrey Queudet

  • Affiliations:
  • IRCCyN Institute, University of Nantes, Nantes, France;IRCCyN Institute, University of Nantes, Nantes, France

  • Venue:
  • Real-Time Systems
  • Year:
  • 2014

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Abstract

Real-time energy harvesting systems are designed using a microprocessor, a rechargeable energy storage unit and an energy harvester. The theoretical analysis shows that an optimal solution to the underlying online scheduling problem requires time lookahead which can be incompatible with the common stochastic nature of ambient energy.