Advances in Vehicular Networks

• Autore: Masini Barbara Mavì
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (138 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: 5G; 5G networks; AODV; automotive; C-RAN; collision probability; connected vehicles; convolutional neural networks; cooperative driving; damper; deep learning; diagnosis; edge computing; end-to-end delay; fault detection; field trials; Fresnel lenses; infrastructure-to-vehicle; Intelligent Transportation Systems; machine learning; n/a; optimization; packet loss ratio; pedestrian; probabilistic flooding; reconfigurable meta-surface; resource allocation; safety; smart environment; smart vehicles; throughput; VANET; vehicle-to-everything communication; vehicle-to-vehicle; vehicles; vehicular communication; vehicular networks; Visible Light Communication; visible light communications; vulnerable road user detection
• 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