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 …

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

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 to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

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 …

Driven by the explosion transmission and computation requirement in 5G vehicular
networks, mobile edge computing (MEC) attracts more attention than centralized cloud …

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 …

In the Internet of Vehicles (IoV) scenarios, vehicles are equipped with computing resources
to support vehicle-oriented IoV applications. Meanwhile, these computing resources can be …

Mobile edge computing (MEC) has emerged as a promising paradigm to realize user
requirements with low-latency applications. The deep integration of multi-access …

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