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...
Main Authors: | Thomas Huybrechts, Philippe Reiter, Siegfried Mercelis, Jeroen Famaey, Steven Latré, Peter Hellinckx |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/13/3914 |
Similar Items
-
Automated Testbench Generation for Communication Systems
by: Qu, Xin
Published: (2014) -
A Wireless and Batteryless Intelligent Carbon Monoxide Sensor
by: Chen-Chia Chen, et al.
Published: (2016-09-01) -
User Interface and Modified Testbench to Support Comprehensive Analysis of Protein Structural Alignment Tools
by: Kamepalli, Phanindra
Published: (2011) -
Design of FPGA physical automatic testing environment based on Testbench
by: Gao Hu, et al.
Published: (2018-04-01) -
Enabling Low-Latency Bluetooth Low Energy on Energy Harvesting Batteryless Devices Using Wake-Up Radios
by: Ashish Kumar Sultania, et al.
Published: (2020-09-01)