Implementation of Multi-Exit Neural-Network Inferences for an Image-Based Sensing System with Energy Harvesting

Implementation of Multi-Exit Neural-Network Inferences for an Image-Based Sensing System with Energy Harvesting

Wireless sensor systems powered by batteries are widely used in a variety of applications. For applications with space limitation, their size was reduced, limiting battery energy capacity and memory storage size. A multi-exit neural network enables to overcome these limitations by filtering out data...

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Bibliographic Details
Main Authors: Yuyang Li, Yuxin Gao, Minghe Shao, Joseph T. Tonecha, Yawen Wu, Jingtong Hu, Inhee Lee
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Journal of Low Power Electronics and Applications
Subjects:
CNN
multi-exit neural network
energy harvesting
energy optimization
low power
Online Access:https://www.mdpi.com/2079-9268/11/3/34

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