Federated learning (FL) is a distributed machine learning approach that can achieve the
purpose of collaborative learning from a large amount of data that belong to different parties …

Abstract Vehicular Ad Hoc Networks (VANET) are self-organized wireless network for
Intelligent Transportation Systems (ITS) that allow vehicles to collaborate with each other, to …

With the rapid development of the Internet of Vehicles, at the same time, due to the limited
storage space of vehicles and more and more data requirements, vehicles need more and …

The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of
important applications including collaborative autonomous driving and advanced …

The purpose of this exploration of blockchain in vehicle management based on Digital Twins
in Vehicular Adhoc Networks (VANETs) is to further improve intelligent transportation in …

One of the main causes of energy consumption in Internet of Vehicles (IoV) networks is an ill-
designed network congestion control protocol, which results in numerous packet drops …

Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation
of equipped vehicles on the road grabs the attention of researchers and is constantly striving …

Abstract In Vehicular Ad Hoc Networks (VANETs), high mobility, high-density, and random
distribution of vehicles are crucial factors affecting the performance of a routing scheme …

The proliferation of fifth-generation (5G) networks toward vehicle-to-everything (V2X)
communication has paved the way for driverless autonomous vehicles (AVs) in vehicular …

In Vehicular Adhoc Networks (VANETs), disseminating Emergency Messages (EMs) to a
maximum number of vehicles with low latency and low packet loss is critical for road safety …