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 …

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

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 …

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

Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …

The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …

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 …

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 development of microprocessor technology, massive IoT devices are deployed in
smart cities which promotes numerous supervisory control and data acquisition (SCADA) …

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