A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …
technologies, the infrastructure, devices and resources in networking systems are becoming …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
A topical review on machine learning, software defined networking, internet of things applications: Research limitations and challenges
In recent years, rapid development has been made to the Internet of Things communication
technologies, infrastructure, and physical resources management. These developments and …
technologies, infrastructure, and physical resources management. These developments and …
Intelligent traffic management in next-generation networks
The recent development of smart devices has lead to an explosion in data generation and
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
A cognitive routing framework for reliable communication in IoT for industry 5.0
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 …
applications with ability to analyze and predict the human as well as machine behaviors …
[HTML][HTML] Analysis of the use of artificial intelligence in software-defined intelligent networks: A survey
The distributed structure of traditional networks often fails to promptly and accurately provide
the computational power required for artificial intelligence (AI), hindering its practical …
the computational power required for artificial intelligence (AI), hindering its practical …
PrePass-Flow: A Machine Learning based technique to minimize ACL policy violation due to links failure in hybrid SDN
The centralized architecture of Software-Defined Networking (SDN) reduces networking
complexity and improves network manageability by omitting the need for box-by-box …
complexity and improves network manageability by omitting the need for box-by-box …
IEEE 802.11 be multi-link operation: When the best could be to use only a single interface
A López-Raventós, B Bellalta - 2021 19th Mediterranean …, 2021 - ieeexplore.ieee.org
The multi-link operation (MLO) is a new feature proposed to be part of the IEEE 802.11 be
Extremely High Throughput (EHT) amendment. Through MLO, access points and stations …
Extremely High Throughput (EHT) amendment. Through MLO, access points and stations …
IPro: An approach for intelligent SDN monitoring
Traffic Monitoring assists in achieving network stability by observing and quantifying its
behavior. A proper traffic monitoring solution requires the accurate and timely collection of …
behavior. A proper traffic monitoring solution requires the accurate and timely collection of …
AI meets SDN: A survey of artificial intelligent techniques applied to software-defined networks
Due to the rising use of smart gadgets such as smartphones, smart watches, smart cars etc.,
data exchange over the Internet has surged exponentially in recent day [1]. Further, the …
data exchange over the Internet has surged exponentially in recent day [1]. Further, the …