Task allocation in edge computing refers to the process of distributing tasks among the
various nodes in an edge computing network. The main challenges in task allocation …

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 increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …

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 …

With the advent of agriculture 4.0 era, the combination of agriculture and unmanned
technology has promoted the development of intelligent agriculture. However, there are …

Multiaccess edge computing (MEC) is a promising approach to enhancing IoT devices
running AI-based services. Especially, the edge–cloud architecture acts as a strong …

Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

Vehicular services aim to provide smart and timely services (eg, collision warning) by taking
the advantage of recent advances in artificial intelligence and employing task offloading …

Video, as a key driver in the global explosion of digital information, can create tremendous
benefits for human society. Governments and enterprises are deploying innumerable …

As an effective method to increase the computing capability of vehicles, vehicle-to-vehicle
(V2V) assisted vehicular edge computing (VEC) has great potential to reduce infrastructure …