Recent advances in information technology have revolutionized the automotive industry,
paving the way for next-generation smart vehicular mobility. Specifically, vehicles, roadside …

Mobile edge computing is becoming a promising computing architecture to overcome the
resource limitation of mobile devices and bandwidth bottleneck of the core networks in …

Ensuring dependable quality of service (QoS) and quality of experience (QoE) for
computation-intensive and delay-sensitive applications in vehicles can be a challenging …

The integration of cloud-fog-edge computing in Software-Defined Vehicular Ad hoc
Networks (SDN-VANETs) brings a new paradigm that provides the needed resources for …

Mobile edge computing (MEC) is a suitable solution to improve computational capabilities in
vehicular environments, and the computation offloading plays a critical role in MEC. After the …

This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …

In the recent days, data's plays a significant role and its enormous quantity are extracted
based on various IoT devices. Various IoT devices generates huge data and it is processed …

Due to the high mobility, dynamic nature, and legacy vehicular networks, the seamless
connectivity and reliability become a new challenge in software-defined internet of vehicles …

The realm of cloud computing has revolutionized access to cloud resources and their
utilization and applications over the Internet. However, deploying cloud computing for delay …