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Advances in Vehicular Networks

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 spectru...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2021
Matèries:
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
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accés en línia:ONIX_20210501_9783039437993_12
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Sumari: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.

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