Multiaccess edge computing (MEC) enables autonomous vehicles to handle time-critical
and data-intensive computational tasks for emerging Internet-of-Vehicles (IoV) applications …

Vehicular Edge Computing (VEC) aims to extend cloud service provision to the network
edge vehicles, thus reducing back-haul network traffic and service latency. The emergence …

Parked Vehicle (PV) assistance in vehicular edge computing and networks is proposed to
exploit underutilized computing resources from PVs for enhancing the resource capacity at …

The Internet of Vehicles (IoV) vision encompasses a wide range of novel intelligent highway
scenarios that rely on vehicles with an ever-increasing degree of autonomy and the prospect …

Abstract Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …

In the foreseeable Intelligent Transportation System (ITS), Intelligent Connected Vehicles
(ICVs) will play an important role in improving travel efficiency and safety. However, it is …

Vehicular edge computing (VEC) is a promising paradigm to relieve the overload on
corresponding edge servers by utilising the idle resources of nearby vehicles. However, due …

Multiaccess edge computing (MEC) is a new paradigm to meet the requirements for low
latency and high reliability of applications in vehicular networking. More computation …

Vehicular edge computing (VEC), which extends the computing, storage, and networking
resources from the cloud center to the logical network edge through the deployment of edge …

Mobile Edge Computing (MEC) technology has been introduced to the Internet of Vehicles
(IoV) to provide the sufficient computing resource. However, designing an efficient task …