Reinforcement Learning Based Congestion Control Mechanism for Opportunistic Networks-Reference-Cited by-同舟云学术

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Reinforcement Learning Based Congestion Control Mechanism for Opportunistic Networks

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Globecom Workshops (GC Wkshps)
language:
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Author:

Singh Jagdeep¹,Dhurandher Sanjay Kumar²,Woungang Isaac³,Chatzimisios Periklis⁴,Rodrigues Joel J. P. C.⁵

Affiliation:

1. Sant Longowal Institute of Engineering and Technology,Department of Computer Science and Engineering,Longowal,Punjab,India

2. Netaji Subhas University of Technology,Department of Information Technology,New Delhi,India

3. Ryerson University,Department of Computer Science,Toronto,ON,Canada

4. International Hellenic University,Thessaloniki,Greece

5. China University of Petroleum (East China),College of Computer Science and Technology,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008500.pdf?arnumber=10008500

Reference25 articles.

1. Deep Reinforcement Learning with Double Q-Learning

2. ARBR: Adaptive reinforcement-based routing for DTN

3. A Double Q-Learning Routing in Delay Tolerant Networks

4. Rainbow: Combining Improvements in Deep Reinforcement Learning

5. Distributed Reinforcement Learning Approach for Vehicular Ad Hoc Networks

Cited by 1 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. A comprehensive survey on Machine Learning techniques in opportunistic networks: Advances, challenges and future directions;Pervasive and Mobile Computing;2024-05

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