Deep Learning on Energy Harvesting IoT Devices: Survey and Future Challenges

Deep Learning on Energy Harvesting IoT Devices: Survey and Future Challenges

Internet-of-Things (IoT) devices are becoming both intelligent and green. On the one hand, Deep Neural Network (DNN) compression techniques make it possible to run deep learning applications on devices equipped with low-end microcontrollers (MCUs). By performing deep learning on IoT devices, in-situ...

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Bibliographic Details
Main Authors: Mingsong Lv, Enyu Xu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
DNN inference
energy harvesting
IoT devices
embedded systems
Online Access:https://ieeexplore.ieee.org/document/9964142/

Internet

https://ieeexplore.ieee.org/document/9964142/

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