Cooperative Vehicle-Infrastructure System (CVIS) can provide innovative services for traffic
management and enable trips to be safer, more coordinated, and smarter. In the CVIS, the …

Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

Mobile-edge computing (MEC) sinks computation and storage capacities to network edge,
where it is close to users to support delay-sensitive services. However, due to the dynamic …

Roadside units (RSUs), which have strong computing capability and are close to vehicle
nodes, have been widely used to process delay-and computation-intensive tasks of vehicle …

Vehicular Edge Computing (VEC) enables task offloading from vehicles to the edge servers
deployed on Road Side Units (RSUs), thus enhancing the task processing performance of …

The Internet of Medical Things (IoMT) and Artificial Intelligence (AI) have brought
unprecedented opportunities to meet massive behavioral data access and personalization …

Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for
sensing, communications, computing, storage, and intelligence to the premises closer to the …

Edge computing has been considered as one of the key paradigms in the fifth-generation
(5G) networks for enabling computation-intensive yet latency-sensitive vehicular Internet …

Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation,
networking, and storage resources, close to end users, thus reducing end-to-end latency …