Vehicular edge computing (VEC) is an effective method to increase the computing capability
of vehicles, where vehicles share their idle computing resources with each other. However …

As a novel computing paradigm, multiaccess edge computing (MEC) migrates computing
and storage capabilities to edge nodes of the network to meet the requirements of executing …

With the emergence of computation-intensive vehicular applications, computation offloading
based on mobile-edge computing (MEC) has become a promising paradigm in resource …

Facing the requirements of intelligent vehicles for massive data processing, vehicular edge
computing (VEC) utilizes computing resources deployed on the roadside infrastructure to …

Vehicular ad hoc networks (VANETs) has become an important part of modern intelligent
transportation systems (ITS). However, under the influence of malicious mobile vehicles …

The rapid advancement of intelligent vehicles is deemed crucial to the emergence of diverse
compute-intensive applications of assisted driving, which consist of automatic driving, speed …

Vehicular edge computing (VEC) extends edge computing to vehicular networks by
exploiting computation resources of vehicles to offload tasks from other vehicles and …

Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …

Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …

Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …