The support of edge computing for vehicular technologies gained increasing momentum
with 5G to fulfill efficient offloading tasks from vehicles towards the edge nodes. Accordingly …

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 …

Vehicular edge computing (VEC) is a potential field that distributes computational tasks
between VEC servers and local vehicular terminals, hence improve vehicular services. At …

Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …

Supporting data dissemination in vehicular networks is difficult due to high mobility of
vehicle traffic, limited communication resources, and dynamic communication requirements …

The recent rapid expansion of multimedia applications spectrum, ranging from infotainment
to healthcare and mission-critical scenarios, has incited researchers from different …

Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …

In recent years, wireless communication demands from high-speed vehicles have rapidly
increased, due to the enrichment of various emerging vehicular applications including road …

Data exchange in Vehicle-to-vehicle (V2V) communications systems is a field that requires
automated solutions, tools and methods and the capability to facilitate early detection and …