Advances in Vehicular Networks

• Autore: Masini Barbara Mavì
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 electronic resource (138 p.)
• Soggetto topico: History of engineering & technology
• Soggetto non controllato: vehicular 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
• Persona (resp. second.): SilvaCristiano M; BaladorAli; MasiniBarbara Mavì
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Vehicular Networks
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557786803321
• Lo trovi qui: Univ. Federico II