An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning-Reference-Cited by-同舟云学术

An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning

Published:2023 Issue: Volume:11 Page:83322-83342
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Jinqiang¹^ORCID,Ye Miao¹^ORCID,Huang Linqiang²^ORCID,Deng Xiaofang¹^ORCID,Qiu Hongbing¹^ORCID,Wang Yong²^ORCID,Jiang Qiuxiang³

Affiliation:

1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, China

2. School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China

3. Guangxi Key Laboratory of Wireless Broadband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin, China

Funder

National Natural Science Foundation of China

Subsidization of Innovation Project of Guangxi Graduate Education

Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology

Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10209181.pdf?arnumber=10209181

Reference51 articles.

1. The top-K QoS-aware paths discovery for source routing in SDN;chen;KSII Trans Internet Inf Syst,2018

2. GCN- and GRU-Based Intelligent Model for Temperature Prediction of Local Heating Surfaces

3. Discover the optimal IoT packets routing path of software-defined network via artificial bee colony algorithm;ke;Proc 1st Int Conf Wireless Internet,2019

4. A routing optimization strategy for wireless sensor networks based on improved genetic algorithm;yao;J Appl Sci Eng,2016

5. A Noval Satellite Network Traffic Prediction Method Based on GCN-GRU