With the recent advancement of vehicular ad-hoc networks (VANETs) or the internet of
vehicles (IoVs), vehicles are getting more powerful and generating huge amount of traffic …

Recently, the rapid advance of vehicular networks has led to the emergence of diverse delay-
sensitive vehicular applications such as automatic driving, auto navigation. Note that …

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 …

With the rapid development of Intelligent Transportation Systems (ITS), many new
applications for Intelligent Connected Vehicles (ICVs) have sprung up. In order to tackle the …

Complex vehicular applications, such as automatic driving and augmented reality are delay
sensitive and require massive computational resources. Despite being more connected and …

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

Resource-intensive applications on smart vehicles is posing difficulties to the use of
traditional cloud computing for computation offloading in vehicular networks. In particular …

Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

The explosive growth of computation-intensive and delay-sensitive applications in vehicular
edge network demands high computation resources and energy. With the cellular-vehicle to …

Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …