Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …

With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …

Recently, the boosting growth of computation-heavy applications raises great challenges for
the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and …

Internet of Things (IoT) has now become an embryonic technology to elevate the whole
sphere into canny cities. Hasty enlargement of smart cities and industries leads to the …

As a distributed learning approach, federated learning trains a shared learning model over
distributed datasets while preserving the training data privacy. We extend the application of …

In the Internet of Vehicles (IoV) scenarios, vehicles are equipped with computing resources
to support vehicle-oriented IoV applications. Meanwhile, these computing resources can be …

The integration of fog computing in vehicular networks has led to significant advancements
in road safety, traffic control, entertainment, and comfort services. Vehicular Fog Computing …

Abstract Vehicular Fog Computing (VFC) has been envisioned as a potential fog computing
paradigm which aims to offload delay sensitive tasks to mobile fog vehicles instead of …

Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …

By integrating Mobile Edge Computing (MEC) into vehicular networks, vehicular edge
computing extends computing capability to the vehicular network edge and hosts services in …