A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges

J Xie, FR Yu, T Huang, R Xie, J Liu… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

Blockchain and machine learning for communications and networking systems

Y Liu, FR Yu, X Li, H Ji… - … communications surveys & …, 2020 - ieeexplore.ieee.org
Recently, with the rapid development of information and communication technologies, the
infrastructures, resources, end devices, and applications in communications and networking …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

Intelligent routing based on reinforcement learning for software-defined networking

DM Casas-Velasco, OMC Rendon… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Traditional routing protocols employ limited information to make routing decisions, which
can lead to a slow adaptation to traffic variability, as well as restricted support to the Quality …

NeuRoute: Predictive dynamic routing for software-defined networks

A Azzouni, R Boutaba, G Pujolle - 2017 13th International …, 2017 - ieeexplore.ieee.org
This paper introduces NeuRoute, a dynamic routing framework for Software Defined
Networks (SDN) entirely based on machine learning, specifically, Neural Networks. Current …

A cognitive routing framework for reliable communication in IoT for industry 5.0

S Ghosh, T Dagiuklas, M Iqbal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Industry 5.0 requires intelligent self-organi-zed, self-managed, and self-monitoring
applications with ability to analyze and predict the human as well as machine behaviors …

A Machine Learning-Aided Network Contention-Aware Link Lifetime-and Delay-Based Hybrid Routing Framework for Software-Defined Vehicular Networks

PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
The functionality of Vehicular Ad Hoc Networks (VANETs) is improved by the Software-
Defined Vehicular Network (SDVN) paradigm. Routing is challenging in vehicular networks …

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, 2024 - 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 …

[PDF][PDF] Intelligent software-defined network for cognitive routing optimization using deep extreme learning machine approach

F Alhaidari, SH Almotiri… - Computers …, 2021 - pdfs.semanticscholar.org
In recent years, the infrastructure, instruments, and resources of network systems are
becoming more complex and heterogeneous, with the rapid development of current internet …

Dynamic load balancing of software-defined networking based on genetic-ant colony optimization

H Xue, KT Kim, HY Youn - Sensors, 2019 - mdpi.com
Load Balancing (LB) is one of the most important tasks required to maximize network
performance, scalability and robustness. Nowadays, with the emergence of Software …