Energy Consumption Optimization of UAV-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning-Reference-Cited by-同舟云学术

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Energy Consumption Optimization of UAV-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning

Published:2024-06-15 Issue:12 Volume:11 Page:21135-21145
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Kong Xiangjie¹^ORCID,Ni Chenhao¹^ORCID,Duan Gaohui²,Shen Guojiang¹^ORCID,Yang Yao³^ORCID,Das Sajal K.⁴^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

2. School of Software, Dalian University of Technology, Dalian, China

3. Research Center for Space-Based Computing System, Zhejiang Laboratory, Hangzhou, China

4. Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation

US National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10433807.pdf?arnumber=10433807

Reference37 articles.

1. TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices

2. TinyML: Current Progress, Research Challenges, and Future Roadmap

3. Edge Computing for Internet of Everything: A Survey

4. Multiplicative long short-term memory-based software-defined networking for handover management in 5G network

5. UAVs for traffic monitoring: A sequential game-based computation offloading/sharing approach

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. Multi-UAV Hierarchical Intelligent Traffic Offloading Network Optimization Based on Deep Federated Learning;IEEE Internet of Things Journal;2024-06-15

2. Multicast Routing Based on Data Envelopment Analysis and Markovian Decision Processes for Multimodal Transportation;Applied Sciences;2024-03-04

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