IEACC: An Intelligent Edge-Aided Congestion Control Scheme for Named Data Networking With Deep Reinforcement Learning-Reference-Cited by-同舟云学术

IEACC: An Intelligent Edge-Aided Congestion Control Scheme for Named Data Networking With Deep Reinforcement Learning

Published:2022-12 Issue:4 Volume:19 Page:4932-4947
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Yang Jiayu¹,Chen Yuxin¹,Xue Kaiping¹^ORCID,Han Jiangping¹,Li Jian¹^ORCID,Wei David S. L.²^ORCID,Sun Qibin¹,Lu Jun³

Affiliation:

1. School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China

2. Computer and Information Science Department, Fordham University, Bronx, NY, USA

3. School of Cyber Science and Technology and the Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10034788/09850399.pdf?arnumber=9850399

Reference44 articles.

1. Joint hop-by-hop and receiver-driven interest control protocol for content-centric networks

2. Adaptive forwarding in named data networking

3. An improved hop-by-hop interest shaper for congestion control in named data networking

4. Optimal multipath congestion control and request forwarding in information-centric networks: Protocol design and experimentation

5. A Practical Congestion Control Scheme for Named Data Networking

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