Edge intelligence (EI) migrates data and artificial intelligence (AI) to the “edge” of a network,
enhancing the high-bandwidth and low-latency of wireless data transmission with the …

Vehicles in platoons need to process many tasks to support various real-time vehicular
applications. When a task arrives at a vehicle, the vehicle may not process the task due to its …

To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …

Academic and industrial communities have been paying significant attention to the 6th
Generation (6G) wireless communication systems after the commercial deployment of 5G …

In recent years, the need for computation-intensive applications in mobile networks requiring
more storage, powerful processors, and real-time responses has risen substantially …

The continuous evolution of cellular networks has resulted in the rapid increase in both
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …

Utilizing the stable underlying and cloud-native functions of vehicle platoons allows for
flexible resource provisioning in environments with limited infrastructure, particularly for …

Mobile edge computing has been a promising solution to enable real-time service in
vehicular networks. However, due to high dynamics of mobile environment and …

Autonomous vehicle platooning has tremendous potential to relieve the burden of Vehicular
Edge Computing (VEC) by sharing resources with nearby vehicles. Therefore, fleet …

The dramatically growing trend of vehicles equipped with driving camera recorders has
allowed realizing real-time crowdsourced video sharing in vehicular edge computing (VEC) …