MAllEC: Fast and Optimal Scheduling of Energy Consumption for Energy Harvesting Devices

Energy consumption scheduling algorithms allow energy harvesting Internet of Things (IoT) devices to maximize the amount of harvested energy that they consume, while maintaining uninterrupted, indefinite, operation. The existing works in the area show a tradeoff between solution quality and computat...

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Veröffentlicht in:	IEEE internet of things journal 2018-12, Vol.5 (6), p.5132-5140
Hauptverfasser:	Cionca, Victor, McGibney, Alan, Rea, Susan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Batteries Blackouts Complexity Computer simulation Energy consumption Energy consumption scheduling Energy harvesting energy neutral operation Energy states Hardware Heuristic algorithms Internet of Things Irradiance Optimization Outages Power consumption Prediction algorithms Scheduling State of the art Time complexity Tradeoffs
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