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 …

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 …

Abstract Multi-access Edge Computing (MEC) has significant advantages in improving
resource efficiency of Internet of Things (IoT) and 5G networks, however its limited resources …

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 …

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 …

Parked vehicle-assisted multi-access edge computing (PVMEC) is a paradigm that exploits
the under-utilized resources of parked vehicles (PVs) to assist MEC servers for offloaded …

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 …

The Mobile Edge Computing (MEC)-based task offloading in the Internet of Vehicles (IoV)
scenario, which transfers computational tasks to mobile edge nodes and fixed edge nodes …

The rapid development of the Internet of Vehicles (IoV) leads to various on-board
applications including delay-sensitive and compute-intensive applications. However …

Internet of Vehicles (IoV) has attracted global research interests across extensive
applications. Due to the significant increase in the number of vehicles accessing the Internet …