Deep Reinforcement Learning for Energy-Efficient Fresh Data Collection in Rechargeable UAV-assisted IoT Networks-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Energy-Efficient Fresh Data Collection in Rechargeable UAV-assisted IoT Networks

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Wireless Communications and Networking Conference (WCNC)
language:
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Author:

Yi Mengjie¹,Wang Xijun²,Liu Juan³,Zhang Yan⁴,Hou Ronghui¹

Affiliation:

1. Xidian University,School of Cyber Engineering,Xi’an,China,710071

2. Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China,510006

3. Ningbo University,School of Electrical Engineering and Computer Science,Zhejiang,China,315211

4. Xidian University,State Key Lab of Integrated Service Networks, Information Science Institute,Xi’an,China,710071

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118584/10118587/10119126.pdf?arnumber=10119126

Reference13 articles.

1. Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing

2. Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-Assisted Networks

3. Dueling network architectures for deep reinforcement learning;wang,0

4. Deep Reinforcement Learning with Double Q-Learning

5. Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning for AoI Minimization in UAV-Aided Data Collection for WSN and IoT Applications: A Survey;IEEE Access;2024

2. Efficient Sensing Data Collection with Diverse Age of Information in UAV-Assisted System;IoT;2023-08-21

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