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Earliest Deadline First Scheduling for Real-Time Computing in Sustainable Sensors

Author

Listed:
  • Maryline Chetto

    (LS2N Laboratory-UMR CNRS 6004, Nantes Université, CEDEX 03, 44321 Nantes, France)

  • Rola El Osta

    (LENS Laboratory, Lebanese University, Saida P.O. Box 813, Lebanon)

Abstract

Energy harvesting is a green technology that authorizes small electronic devices to be supplied for perpetual operation. It enables wireless sensors to be integrated in applications that previously were not feasible with conventional battery-powered designs. Intermittent computing and scheduling are the two central aspects of designing a Real-Time Energy Harvesting (RTEH) sensor, generally used to monitor a mission critical process. Traditional scheduling algorithms fail to timely execute the hard deadline tasks because they accommodate no fluctuations in power supply and therefore no intermittent computing. A suitable energy-harvesting-aware scheduling algorithm has been proposed so as to achieve a higher schedulability rate. Unlike the classical EDF (Earliest Deadline First) scheduler, the ED-H algorithm is idling and clairvoyant, with an improved performance in terms of the deadline missing ratio. This paper reviews the main advances in dynamic priority scheduling based on EDF for energy-neutral systems.

Suggested Citation

  • Maryline Chetto & Rola El Osta, 2023. "Earliest Deadline First Scheduling for Real-Time Computing in Sustainable Sensors," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:3972-:d:1076678
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    References listed on IDEAS

    as
    1. Daniel Sanin-Villa, 2022. "Recent Developments in Thermoelectric Generation: A Review," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    2. Akeel Othman & Jaromir Hrad & Jiri Hajek & Dusan Maga, 2022. "Control Strategies of Hybrid Energy Harvesting—A Survey," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    3. Fahad R. Albogamy, 2022. "Optimal Energy Consumption Scheduler Considering Real-Time Pricing Scheme for Energy Optimization in Smart Microgrid," Energies, MDPI, vol. 15(21), pages 1-31, October.
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