In recent years, the 5G network faces more traffic congestion due to the increasing number
of mobile operators. In the networking field, learning methods are widely used to reduce the …

Fog computing is a paradigm to overcome the cloud computing limitations which provides
low latency to the users' applications for the Internet of Things (IoT). Software-defined …

The osmotic computing paradigm sets out the principles and algorithms for simplifying the
deployment of Internet of Things (IoT) applications in integrated edge-cloud environments …

Traffic management in software-defined networks (SDNs) is critical for efficient bandwidth
utilization and resource provisioning. Recent works on SDN load balancing (LB) have …

The integration and crosscoordination of big data processing and software‐defined
networking (SDN) are vital for improving the performance of big data applications. Various …

The rapid increase in the number of connected devices paired with the adoption of Machine
Learning (ML) applications dramatically augments the computation and communication …

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

The increasing complexity of contemporary mobile and application‐centric networks is
pushing traditional WAN architectures to its limit. Due to the rise of Cloud‐based services …

Driven by long traffic jams and numerous road accidents, vehicle networks (Vehicular Ad
hoc NETwork, VANET) have emerged to make the journey more pleasant, the road safer …

The Internet of Things (IoT) has emerged as one of the most notable technologies in recent
years for facilitating new interactions between matters and humans in order to improve the …