Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

The integration of fog computing in vehicular networks has led to significant advancements
in road safety, traffic control, entertainment, and comfort services. Vehicular Fog Computing …

Rapid urbanization is putting a strain on the transport systems of cities worldwide. The
effects of this trend include prolonged traffic jams and increasing environmental pollution …

Abstract Vehicle to Grid (V2G) networks are facing many security problems, such as privacy
protection and identity authentication for electric vehicle (EV) users. To solve these problems …

The analytical research has recently indicated that the computational resources of
Connected Autonomous Vehicles (CAVs) have been wasted since almost all vehicles spend …

The introduction of mobile edge computing (MEC) in vehicular network has been a
promising paradigm to improve vehicular services by offloading computation‐intensive tasks …

As most vehicles spend over 95% of their time in the parking lots, the powerful computing
resources of parked vehicles (PVs) are underutilized, that can be considered as available …

With the emergence of autonomous vehicles, meeting the vehicle's computing needs for
computationally intensive and latency-sensitive tasks has become a challenge. Cellular …

The vehicular industry is evolving towards unmanned and connected vehicles that offer
numerous benefits such as traffic congestion control and improved road safety. Lately, a …

Nowadays, fog computing has become an emerging hot-topic for possessing the same
advantages as cloud computing and the lower latency. Nevertheless, there are still many …