… learning for RA in vehicular networks. In Section VII, we summarize three important future
directions for RA research in vehicular networks lead by network slicing, machine learning, …

… Vehicle networks is a assisting technology in supporting many applications that … algorithm
for vehicular networks,” in Proc. 1st ACM international workshop on Vehicular ad hoc networks…

… in vehicular networks from the networking aspect. Research topics covered in this article
include network … management, and energy efficiency in vehicular networks. The findings of this …

… the wide use of temporal networks for modeling networks of contacts and, consequently,
routing of messages in vehicular networks, we recommend the reading of such algorithms, their …

… in vehicular networks using machine learning. Therefore, a thorough understanding of how
… learning algorithms are utilized to offer a dynamic resource allocation in vehicular networks …

… rely on end-to-end communication that results in inefficiencies in vehicle data … the vehicle
network in order to utilize the benefits of NDN in order to increase the efficiency of vehicle data …

… of these propagation algorithms, discussing their model analysis and performance … algorithm’s
extension introducing a dynamic setting of parameters according to the vehicular network…

… networks, where messages generated at vehicles should be uploaded to the roadside unit
(RSU) assisted by vehicle-to-vehicle … delivery delay in hybrid vehicular networks with the store-…

… This section first provides an introduction to vehicular networks and cooperative communication
before describing various aspects of cooperative vehicular networking. For ease of …

… shared machine learning model while protecting the individual data-sets. This article
investigates a new type of vehicular network concept, namely a Federated Vehicular Network (FVN)…