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 …

[HTML][HTML] Optimization Algorithms in SDN: Routing, Load Balancing, and Delay Optimization

MD Tache, O Păscuțoiu, E Borcoci - Applied Sciences, 2024 - mdpi.com
Software-Defined Networking is today a mature technology, which is developed in many
networks and also embedded in novel architectures like 5G and 6G. The SDN control …

DRSIR: A deep reinforcement learning approach for routing in software-defined networking

DM Casas-Velasco, OMC Rendon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traditional routing protocols employ limited information to make routing decisions, which
leads to slow adaptation to traffic variability and restricted support to the quality of service …

A QoS-Based routing algorithm over software defined networks

MO Elbasheer, A Aldegheishem, J Lloret… - Journal of Network and …, 2021 - Elsevier
Video streaming requires reliable transmission and a steady network to satisfy the video
users and applications QoS needs. The network service must provide and meet a certain …

An intelligent resource management method in SDN based fog computing using reinforcement learning

M Anoushee, M Fartash, J Akbari Torkestani - Computing, 2024 - Springer
Nowadays, cloud computing faces growing challenges, furthermore, responding to time-
sensitive requests in the traditional cloud computing model is one of the major challenges …

[HTML][HTML] A reinforcement learning-based routing for real-time multimedia traffic transmission over software-defined networking

M Al Jameel, T Kanakis, S Turner, A Al-Sherbaz… - Electronics, 2022 - mdpi.com
Recently, video streaming services consumption has grown massively and is foreseen to
increase even more in the future. The tremendous traffic usage has negatively impacted the …

[HTML][HTML] Software-defined network-based proactive routing strategy in smart power grids using graph neural network and reinforcement learning

MA Islam, M Ismail, R Atat, O Boyaci… - E-Prime-Advances in …, 2023 - Elsevier
Smart power grid relies on sensors and actuators to provide continuous monitoring and
precise control functions. Two types of data and command packets are associated with such …

Ant colony Optimization-based dynamic routing in Software defined networks

T Shreya, MM Mulla, S Shinde… - 2020 11th International …, 2020 - ieeexplore.ieee.org
Traditional networks are unable to serve the purpose of service providers because of the
tight coupling of control and data plane. Software-Defined Network (SDN) is a new and …

Learning self-adaptations for iot networks: A genetic programming approach

J Li, S Nejati, M Sabetzadeh - Proceedings of the 17th Symposium on …, 2022 - dl.acm.org
Internet of Things (IoT) is a pivotal technology in application domains that require
connectivity and interoperability between large numbers of devices. IoT systems …

Dynamic adaptation of software-defined networks for IoT systems: A search-based approach

SY Shin, S Nejati, M Sabetzadeh, LC Briand… - Proceedings of the …, 2020 - dl.acm.org
The concept of Internet of Things (IoT) has led to the development of many complex and
critical systems such as smart emergency management systems. IoT-enabled applications …