Advances in Vehicular Networks
Masini, Barbara Mavì (editor)
Silva, Cristiano M. (editor)
Balador, Ali (editor)
Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light spectrum to accommodate ultra-low-latency applications, to data dissemination solutions. Further, articles discuss edge computing, neural network-based techniques, and the use of reconfigurable intelligent surfaces (RIS) to boost throughput and enhance coverage.
Keywordsvehicular networks; 5G; C-RAN; resource allocation; edge computing; optimization; vehicle-to-everything communication; pedestrian; vehicles; safety; automotive; damper; convolutional neural networks; fault detection; diagnosis; machine learning; deep learning; connected vehicles; reconfigurable meta-surface; smart environment; cooperative driving; vulnerable road user detection; collision probability; probabilistic flooding; vehicular communication; visible light communications; 5G networks; smart vehicles; field trials; infrastructure-to-vehicle; vehicle-to-vehicle; Intelligent Transportation Systems; Visible Light Communication; Fresnel lenses; AODV; end-to-end delay; packet loss ratio; throughput; VANET; n/a
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Publication date and placeBasel, Switzerland, 2021
History of engineering & technology