The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

In this paper, we investigate multi-dimensional resource management for unmanned aerial
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …

The connected and autonomous vehicles (CAV) applications and services-based traffic
make an extra burden on the already congested cellular networks. Offloading is envisioned …

The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

Vehicular networks are facing the challenges to support ubiquitous connections and high
quality of service for numerous vehicles. To address these issues, mobile edge computing …

In recent years, the unmanned aerial vehicles (UAVs) have exhibited significant market
potential to greatly reduce the cost and time in the field of logistics. The use of UAVs to …

With significant advances in communication and computing, modern day vehicles are
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …

Offloading cellular traffic through WiFi Access Points (APs) has been a promising way to
relieve the overload of cellular networks. However, data offloading process consumes a lot …

The emergence of computation-intensive and delay-sensitive vehicular applications poses a
great challenge for individual vehicles with limited computation resources. Mobile edge …

Electric vehicles (EVs) are being introduced by different manufacturers, thanks to their
environment-friendly perspective to alleviate CO 2 pollution. In this paper, the proposed EV …