Future connected and autonomous vehicles (CAVs) must be secured against cyberattacks
for their everyday functions on the road so that safety of passengers and vehicles can be …

Vehicular networks promise features such as traffic management, route scheduling, data
exchange, entertainment, and much more. With any large-scale technological integration …

In the past decade, blockchain has shown a promising vision to build trust without any
powerful third party in a secure, decentralized and scalable manner. However, due to the …

The Internet of Vehicles is the specific instantiation of the Internet of Things in the field of
transportation. Vehicle and driving data are often used to mine information about people's …

The rapid increase in mobile users, the IoT, and data-hungry applications have brought forth
unprecedented demand on the spectrum, which is scarce; on top of that, the existing static …

Accurate real-time traffic flow prediction can be leveraged to relieve traffic congestion and
associated negative impacts. The existing centralized deep learning methodologies have …

In recent times, wireless communication systems have been considered by a fixed spectrum
allocation policy, where administrative agencies provide wireless spectrum to licensees on a …

Managing urban traffic dynamics is critical in Intelligent Transportation Systems (ITS), where
short-term traffic prediction is vital for effective congestion management and vehicle routing …

Abstract In Smart Cities' applications, Multi-node cooperative spectrum sensing (CSS) can
boost spectrum sensing efficiency in cognitive wireless networks (CWN), although there is a …

This paper provides an overview of cognitive radio technology and its applications in the
field of civil aviation. Cognitive radio technology is a relatively new and emerging field that …