The increasing population across the globe makes it essential to link smart and sustainable
city planning with the logistics of transporting people and goods, which will significantly …

Fog computing is a paradigm that utilizes the advantages of both the cloud and the edge
devices providing quality services, reducing latency, providing mobility support, multi …

With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

Abstract Machine learning (ML) driven solutions have been widely used to secure wireless
communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing …

By moving computing resources to the network logical edge, mobile edge computing is
promising for providing low-latency computing services to mobile users, and task offloading …

Internet of Vehicles (IoV) is a multinode network that exchanges information in an open,
wireless environment. Various communication activities exist between IoV entities to share …

The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various
smart transportation services and applications, considering many benefits to society, people …

Federated learning, which is a distributed machine learning approach for preserving privacy
and is thus widely used in numerous privacy issue applications, is involved in the area …

The new paradigm of fog computing was extended from conventional cloud computing to
provide computing and storage capabilities at the edge of the network. Applied to vehicular …

In recent years, the Internet of vehicles (IoV) has become an indispensable part of wireless
communication. To protect users' privacy and communication security, an increasing number …