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 …

With the explosive increasing of various vehicle applications, vehicular edge computing
(VEC) networks have emerged as a promising technology to extend the capability of the …

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 …

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 …

Mobile Edge Computing (MEC) is a promising solution for vehicular task offloading to meet
the stringent delay and high-reliability requirements. In addition, cloud-assisted MEC can …

Resource-intensive applications on smart vehicles is posing difficulties to the use of
traditional cloud computing for computation offloading in vehicular networks. In particular …

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 …

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 …

Computation-intensive and latency-sensitive vehi-cle tasks continue to emerge with the
repaid development of the Internet of Vehicles (IoV). Traditional cloud servers and single …

Vehicular edge computing (VEC) has emerged as a promising paradigm to ensure the real-
time task processing caused by the emerging 5G or high level intelligent assisted driving …