Research on Intelligent Routing Technology Based on Improved DQN-Reference-Cited by-同舟云学术

Research on Intelligent Routing Technology Based on Improved DQN

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 11th International Conference on Networks, Communication and Computing
language:
Short-container-title:

Author:

Zheng Xiangyu¹^ORCID,Huang Wanwei¹^ORCID,Zhang Xiaohui²^ORCID,Li Hui¹^ORCID,Xiao Qiangyong³^ORCID

Affiliation:

1. Software Engineering College, Zhengzhou University of Light Industry, China

2. Henan Xinda Wangyu Technology Co., Ltd., China

3. Henan Xin'an communication technology co. Ltd., China

Funder

1. National Natural Science Foundation of China

ostgraduate Education Reform and Quality Improvement Project of Henan Province

2. National Natural Science Foundation of China

2. Project of Science and Technology in Henan Province

1. Project of Science and Technology in Henan Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579895.3579924

Reference15 articles.

1. Huang Wanwei , Zheng Xiangyu, Zhang Chaoqin , Wang Sunan, Zhang Xiaohui . Research on intelligent routing technology based on deep reinforcement learning [J/OL] . Journal of Zhengzhou University (Engineering Edition) : 1-8[ 2022 -07-20].DOI :10.13705/j.issn.1671-6833.2022.04.018. Huang Wanwei, Zheng Xiangyu, Zhang Chaoqin, Wang Sunan, Zhang Xiaohui. Research on intelligent routing technology based on deep reinforcement learning [J/OL]. Journal of Zhengzhou University (Engineering Edition): 1-8[2022-07-20].DOI :10.13705/j.issn.1671-6833.2022.04.018.

2. Alidadi A , Arab S , Askari T . A novel optimized routing algorithm for QoS traffic engineering in SDN-based mobile networks[J] . ICT Express , 2021 . Alidadi A , Arab S , Askari T . A novel optimized routing algorithm for QoS traffic engineering in SDN-based mobile networks[J]. ICT Express, 2021.

3. YAN R, LIU R. Principal component analysis based network traffic classification[J]. Journal of computers , 2014 , 9(5): 1234-1240. YAN R, LIU R. Principal component analysis based network traffic classification[J]. Journal of computers, 2014, 9(5): 1234-1240.

4. Nei , Kato, Zubair , The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective[J] . IEEE Wireless Communications , 2017 . Nei, Kato, Zubair, The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective[J]. IEEE Wireless Communications, 2017.

5. Intelligent routing algorithm based on graph convolutional neural network [J];Tang Xin;Computer Engineering,2022