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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Detalles Bibliográficos

Principais autores:	Thomas Huybrechts, Philippe Reiter, Siegfried Mercelis, Jeroen Famaey, Steven Latré, Peter Hellinckx
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-06-01
Series:	Energies
Assuntos:	batteryless devices Worst-Case Energy Consumption hybrid resource consumption analysis machine learning automated testbench Internet-of-Things
Acceso en liña:	https://www.mdpi.com/1996-1073/14/13/3914
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