In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

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 …

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 …

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 …

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 …

From the perspective of telecommunications, next-generation networks or beyond 5G will
inevitably face the challenge of a growing number of users and devices. Such growth results …

Wireless local area networks (WLANs) being the most common access technology, the use
of software-defined networks (SDN) in WLANs is inevitable as SDN paradigm has been …

It is challenging to deal with the Internet congestion problem because of several factors such
as ever-growing traffic and distributed network architecture. The congestion problem can be …

The emergence of Software-Defined Networking (SDN) has brought along a wave of new
technologies and developments in the field of networking with hopes of dealing with network …

This study investigates the applicability of machine learning methods to the routing protocols
for achieving rapid convergence in self-organized knowledge-defined networks. The …