Vehicular edge computing (VEC) enables vehicles to perform computation-intensive and
delay-sensitive tasks through task offloading. Previous works either focused on task …

Vehicular networking technology is advancing rapidly, and one promising area of research
is blockchain-based vehicular edge computing to enhance resource allocation and data …

As a novel paradigm, Vehicular Edge Computing (VEC) can effectively support computation-
intensive or delay-sensitive applications in the Internet of Vehicles era. Computation …

Continuous improvement in transportation systems and smart vehicles' appearance make
new highly intensive applications. Complex applications need high-performance …

Vehicular Edge Computing (VEC) has emerged as a promising paradigm to enable low-
latency Vehicle-to-Everything (V2X) services by bringing computing resources closer to …

With the advancement of intelligent transportation systems, a series of diversified V2X
applications come into being, which have different key performance indicators (KPIs) and …

In the traditional mobile edge computing (MEC) system, the availability of MEC services is
greatly limited for the edge users of the cell due to serious signal attenuation and inter-cell …

Unmanned aerial vehicle (UAVs) have the advantages of high flexibility and ease of
deployment, making it possible to provide mobile edge computing services as an aerial …

Vehicle driving in a platoon is an efficient and ecological driving solution. Introducing the
concept of digital twin (DT) into the platoon to establish platoon digital twin (PDT) can …

The rapid advancement of Artificial Intelligence (AI) has introduced Deep Neural Network
(DNN)-based tasks to the ecosystem of vehicular networks. These tasks are often …