Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …

Abstract Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …

Offloading tasks and data is an important use case for Mobile Edge Computing (MEC) that
benefits a wide variety of mobile applications on different platforms, including autonomous …

Abstract The Internet of Vehicles (IoV) technology is progressively maturing because of the
growth of private cars and the establishment of intelligent transportation systems. The …

The present and next-generation networks of service offloading present exciting issues. The
traditional network optimisation techniques still require rigorous heuristic tuning to obtain a …

In the realm of the Internet of Things (IoT), the significance of edge devices within multi-
cluster communication systems is on the rise. As the quantity of clusters and devices …

In recent years, as more and more vehicles request service from roadside units (RSU), the
vehicle-to-infrastructure (V2I) communication links are under tremendous pressure. This …

The problem at hand is to effectively monitor air quality, which requires the computation of
sensor data from multiple dimensions and locations. Previous approaches to this problem …

Aimed to improve the efficiency of computing offloading in internet of vehicles (IoV), a
collaborative multi-task computing offloading decision mechanism with adaptive estimation …

In Vehicle-to-Everything scenarios, the efficient and real-time offloading of multi-task from
vehicles to roadside units with higher computing power presents a challenging endeavor …