Empowering Energy-Sustainable IoT Devices With Harvest Energy-Optimized Deep Neural Networks

There is a growing demand for low-power network devices; therefore, enabling technologies for the Internet of Things (IoT) is significantly important. This paper proposed resource allocation by maximizing the harvested energy to substantially improve Energy Efficiency (EE) and regulate transmission...

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Bibliographic Details

Main Authors:	Alzahrani, Saeed, Salh, Adeb, Audah, Lukman, A. Alhartomi, Mohammed, Alotaibi, Abdulaziz, Alsulami, Ruwaybih
Format:	Article
Language:	en
Published:	Ieee Acces 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.uthm.edu.my/12383/1/J17839_194c020caeb2a66abd6d2af448048566.pdf http://eprints.uthm.edu.my/12383/ https://doi.org/10.1109/ACCESS.2024.3399563
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