With the emergence of Information and Communication Technologies (ICT) and wireless
embedded sensing devices into modern vehicles, Intelligent Transport System (ITS) …

There are a lot of prospects of the vehicular network, including the artificial neural networks
incorporating a wireless sensor network. Its number comes after the mobile communication …

Vehicular networks and their associated technologies enable an extremely varied plethora
of applications and therefore attract increasing attention from a wide audience. However …

Federated Learning (FL) techniques are emerging in the automotive context to support
connected automated driving services. Yet, when applied to vehicular use cases …

The increasing demand for smart vehicles with many sensing capabilities will escalate data
traffic in vehicular networks. Meanwhile, available network resources are limited. The …

The concept of vehicular ad hoc networks (VANETs) has emerged as an efficient way to
improve the performance of transportation systems, enhance travel security and help …

Machine learning (ML) has recently been adopted in vehicular networks for applications
such as autonomous driving, road safety prediction and vehicular object detection, due to its …

Determining how to structure vehicular network environments can be done in various ways.
Here, we highlight vehicle networks' evolution from vehicular ad-hoc networks (VANET) to …

Vehicular network (VN) is considered as one of the enabling technologies that requires
stable connectivity among the vehicles. The significant dynamics in vehicular structure on …

Driven by the expeditious evolution of the Internet of Things, the conventional vehicular ad
hoc networks will progress toward the Internet of Vehicles (IoV). With the rapid development …