Reinforcement learning-driven QoS-aware intelligent routing for software-defined networks

MB Hossain, J Wei - 2019 IEEE global conference on signal …, 2019 - ieeexplore.ieee.org
Software-defined network (SDN) is an emerging computer networking technology that
disjoints the data forwarding from the centralized control and enables a highly manageable …

[HTML][HTML] AQROM: A quality of service aware routing optimization mechanism based on asynchronous advantage actor-critic in software-defined networks

W Zhou, X Jiang, Q Luo, B Guo, X Sun, F Sun… - Digital Communications …, 2022 - Elsevier
Abstract In Software-Defined Networks (SDNs), determining how to efficiently achieve
Quality of Service (QoS)-aware routing is challenging but critical for significantly improving …

DROM: Optimizing the routing in software-defined networks with deep reinforcement learning

C Yu, J Lan, Z Guo, Y Hu - IEEE Access, 2018 - ieeexplore.ieee.org
This paper proposes DROM, a deep reinforcement learning mechanism for Software-
Defined Networks (SDN) to achieve a universal and customizable routing optimization …

Deep Q-Network and traffic prediction based routing optimization in software defined networks

ELH Bouzidi, A Outtagarts, R Langar… - Journal of Network and …, 2021 - Elsevier
Abstract Software Defined Networking (SDN) is gaining momentum not only in research but
also in IT industry representing the drivers of 5G networks, due to its capabilities of …

Multi-path routing algorithm based on deep reinforcement learning for SDN

Y Zhang, L Qiu, Y Xu, X Wang, S Wang, A Paul, Z Wu - Applied Sciences, 2023 - mdpi.com
Software-Defined Networking (SDN) enhances network control but faces Distributed Denial
of Service (DDoS) attacks due to centralized control and flow-table constraints in network …

SDN-based application-aware segment routing for large-scale network

V Tong, S Souihi, HA Tran, A Mellouk - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
With the rapid growth of fifth-generation (5G), network operators have met with difficulties in
ensuring user satisfaction due to diverse service-level agreement (SLA) requirements …

QoS-aware adaptive routing in multi-layer hierarchical software defined networks: A reinforcement learning approach

SC Lin, IF Akyildiz, P Wang… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Software-defined networks (SDNs) have been recognized as the next-generation
networking paradigm that decouples the data forwarding from the centralized control. To …

Improving the software-defined wireless sensor networks routing performance using reinforcement learning

MU Younus, MK Khan, AR Bhatti - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Software-defined networking (SDN) is an emerging architecture used in many applications
because of its flexible architecture. It is expected to become an essential enabler for the …

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

J Li, M Ye, L Huang, X Deng, H Qiu, Y Wang… - IEEE …, 2023 - ieeexplore.ieee.org
To address the challenges of obtaining network state information, flexibly forwarding data,
and improving the communication quality of service (QoS) in wireless network transmission …

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 …