Recent advances in smart connected vehicles and Intelligent Transportation Systems (ITS)
are based upon the capture and processing of large amounts of sensor data. Modern …

Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …

Mobile-edge computing (MEC) has been witnessed as a promising solution for the vehicular
task offloading. Due to the limited computing resource of individual MEC servers, it faces …

Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

With significant advances in communication and computing, modern day vehicles are
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …

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

The past decade has witnessed the widespread adoption of Cloud Computing (CC) across
automotive industries for a myriad of vehicular applications. A vehicular network that solely …

Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

We study the mobility-aware computation offloading design for mobile edge computing
(MEC) based vehicular wireless networks which considers random mobility of the vehicle …

摘要随着全球人口的持续增长和城市化进程的加速, 道路拥挤, 交通事故和污染排放增加等问题
日益严重. 智慧交通系统旨在借助先进的信息与通信技术建成高效安全, 环保舒适的交通与运输 …