In traditional vehicle edge computing research, the limited computing resources of edge
servers are not fully considered. At the same time, when using deep reinforcement learning …

This paper investigates the feasibility of offloading resource-intensive computational tasks
from a vehicle to a group of neighboring vehicles over vehicle-to-vehicle (V2V) networks to …

Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …

Given the rapid increase of various applications in vehicular networks, it is crucial to
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access …

Abstract Vehicular Edge Computing (VEC) is a promising paradigm for providing low-latency
and high-reliability services in the Internet of Vehicles (IoV). The increasing number of …

The proliferation of smart transportation has significantly promoted explosive growth of the
Internet of Vehicles (IoV). Especially, with the rapid development of the 5-th generation …

Vehicular edge computing (VEC) is an innovative computing paradigm with an exceptional
ability to improve the vehicles' capacity to manage computation-intensive applications with …

With the development of mobile edge computing (MEC), some late-model application
technologies, such as self-driving, augmented reality (AR) and traffic perception, emerge as …

The wide application of edge cloud computing in the Internet of Vehicles (IoV) provides
lower latency, more efficient computing power, and more reliable data transmission services …

The Vehicular Edge Computing (VEC) provides powerful computing resources for intelligent
terminals. However, the diversity of computing resources at edge nodes (ie, edge servers …