To overcome the inherent defect of centralized data processing in cloud computing, the
mobile edge computing (MEC) brings data storage and computing capacities, to the edge …

With the increasing number of vehicles, the generating vehicular data exceeds the capacity
of mobile edge computing (MEC). Therefore, studying the interaction and collaboration of …

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 …

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 …

Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …

As an important application scenario of Internet of Things in 5G, the vehicular network will
produce a large number of computing tasks and data, which will bring huge pressures to the …

With the surge of vehicular users and the development of mobile applications, the
management of big data has become a challenge for the Internet of Vehicle (IoV) …

With the advances in wireless communications and the Internet of Things (IoT), various
vehicular applications such as image-aided navigation and autonomous driving are …

Multi-access edge computing (MEC) has unique interests in processing intensive and delay-
critical computation tasks for vehicular application through computation offloading. However …

Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …