Research on generalized intelligent routing technology based on graph neural network

X Zheng, W Huang, H Li, G Li - Electronics, 2022 - mdpi.com
Aiming at the problems of poor load balancing ability and weak generalization of the existing
routing algorithms, this paper proposes an intelligent routing algorithm, GNN-DRL, in the …

A generic intelligent routing method using deep reinforcement learning with graph neural networks

W Huang, B Yuan, S Wang, J Zhang, J Li… - IET …, 2022 - Wiley Online Library
Routing optimization is a well‐known and established topic with the fundamental goal of
operating networks efficiently. Traditional optimization heuristics may suffer from …

An approach to combine the power of deep reinforcement learning with a graph neural network for routing optimization

B Chen, D Zhu, Y Wang, P Zhang - Electronics, 2022 - mdpi.com
Routing optimization has long been a problem in the networking field. With the rapid
development of user applications, network traffic is continuously increasing in dynamicity …

Intelligent edge network routing architecture with blockchain for the IoT

Y Guo, Y Wang, Q Qian - China Communications, 2023 - ieeexplore.ieee.org
The demand for the Internet of Everything has slowed down network routing efficiency.
Traditional routing policies rely on manual configuration, which has limitations and …

An adaptive intelligent routing algorithm based on deep reinforcement learning

J Bai, J Sun, Z Wang, X Zhao, A Wen, C Zhang… - Computer …, 2024 - Elsevier
A mobile ad hoc network (MANET) is a self-organizing network composed of multiple mobile
nodes. These nodes achieve distributed communication and wireless resource sharing …

Intelligent routing method based on Dueling DQN reinforcement learning and network traffic state prediction in SDN

L Huang, M Ye, X Xue, Y Wang, H Qiu, X Deng - Wireless Networks, 2022 - Springer
The traditional routing method makes use of limited information on the network links to make
routing decisions, which makes it difficult to adapt to the dynamic and complex network and …

Towards cognitive routing based on deep reinforcement learning

J Wu, J Li, Y Xiao, J Liu - arXiv preprint arXiv:2003.12439, 2020 - arxiv.org
Routing is one of the key functions for stable operation of network infrastructure. Nowadays,
the rapid growth of network traffic volume and changing of service requirements call for more …

EARS: Intelligence-driven experiential network architecture for automatic routing in software-defined networking

Y Hu, Z Li, J Lan, J Wu, L Yao - China Communications, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) adapts logically-centralized control by decoupling
control plane from data plane and provides the efficient use of network resources. However …

TIDE: Time-relevant deep reinforcement learning for routing optimization

P Sun, Y Hu, J Lan, L Tian, M Chen - Future Generation Computer Systems, 2019 - Elsevier
Routing optimization has been researched in network design for a long time, and plenty of
optimization schemes have been proposed from both academia and industry. However …

Deep reinforcement learning-based routing on software-defined networks

G Kim, Y Kim, H Lim - IEEE Access, 2022 - ieeexplore.ieee.org
With an exponential increase in network traffic demands requiring quality of services, the
need for routing optimization has become more prominent. Recently, the advent of software …