The advanced services provided by vehicle ad hoc networks (VANETs) often require
vehicles to process complex computing tasks that may not be completed by individual …

Vehicular Edge Computing (VEC) enables task offloading from vehicles to the edge servers
deployed on Road Side Units (RSUs), thus enhancing the task processing performance of …

Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable
of significantly reducing the network's delay and enhancing its capacity. In this paper we …

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

Satellite-assisted internet of things (S-IoT), especially the S-IoT based on low earth orbit
(LEO) satellite, plays an important role in future wireless systems. However, the limited on …

In this paper, we investigate the dependency-aware trustworthy task offloading problem
(DeTTO), especially in an IoT-enabled vehicular network, where a large computation …

Vehicular Edge Computing (VEC) systems exploit resources on both vehicles and Roadside
Units (RSUs) to provide services for real-time vehicular applications that cannot be …

The most basic requirement for autonomous vehicles is accurate environmental perception.
However, the lack of onboard computing resources makes it difficult for such a vehicle to …

Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …

Growing computation requirements in emerging intelligently connected vehicle (ICV)
networks has posed a big challenge for vehicles to process computation-intensive tasks on …