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

In vehicular edge computing, the edge servers may be overloaded once too many vehicles
request the task offloading service, which will cause task offloading failure or the high …

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 …

Taking the mobile edge computing paradigm as an effective supplement to the vehicular
networks can enable vehicles to obtain network resources and computing capability nearby …

Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

Computation offloading services provide required computing resources for vehicles with
computation-intensive tasks. Past computation offloading research mainly focused on …

The emergence of computation-intensive vehicle applications poses a significant challenge
to the limited computation capacity of on-board equipments. Mobile edge computing has …

Vehicular edge computing has emerged as a promising technology to accommodate the
tremendous demand for data storage and computational resources in vehicular networks. By …

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 …

Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …