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

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 …

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

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 …

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 …

In an internet of vehicle (IoV) scenario, vehicular edge computing (VEC) exploits the
computing capabilities of the vehicles and roadside unit (RSU) to enhance the task …

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

Cooperative Vehicle-Infrastructure System (CVIS) can provide innovative services for traffic
management and enable trips to be safer, more coordinated, and smarter. In the CVIS, 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 …