Ultra reliability and low latency communications (URLLC) are considered as one of the most
important use cases for computation tasks in the Internet of Vehicles (IoV) edge computing …

Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …

Mobile edge computing (MEC) and cloud computing (CC) have been considered as the key
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …

Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …

The development of autonomous driving poses significant demands on computing resource,
which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular …

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 …

Vehicular Edge Computing (VEC) systems exploit resources on both vehicles and Roadside
Units (RSUs) to provide services for real-time vehicular applications that cannot be …

Internet of Vehicles (IoV) is a recently introduced paradigm aiming at extending the Internet
of Things (IoT) toward the vehicular scenario in order to cope with its specific requirements …

The developments of connected vehicles are heavily influenced by information and
communications technologies, which have fueled a plethora of innovations in various areas …

With the rapid development of vehicular networks, vehicle-to-everything (V2X)
communications have huge number of tasks to be calculated, which brings challenges to the …