Automated Testbench for Hybrid Machine Learning-Based Worst-Case Energy Consumption Analysis on Batteryless IoT Devices

Batteryless Internet-of-Things (IoT) devices need to schedule tasks on very limited energy budgets from intermittent energy harvesting. Creating an energy-aware scheduler allows the device to schedule tasks in an efficient manner to avoid power loss during execution. To achieve this, we need insight...

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Hlavní autoři:	Thomas Huybrechts, Philippe Reiter, Siegfried Mercelis, Jeroen Famaey, Steven Latré, Peter Hellinckx
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-06-01
Edice:	Energies
Témata:	batteryless devices Worst-Case Energy Consumption hybrid resource consumption analysis machine learning automated testbench Internet-of-Things
On-line přístup:	https://www.mdpi.com/1996-1073/14/13/3914
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