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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collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-68269
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-682692024-04-11T15:10:31Z Advances in Vehicular Networks Masini, Barbara Mavì Silva, Cristiano M. Balador, Ali 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 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. 2021-05-01T15:05:49Z 2021-05-01T15:05:49Z 2021 book ONIX_20210501_9783039437993_12 9783039437993 9783039438006 https://directory.doabooks.org/handle/20.500.12854/68269 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3266 https://mdpi.com/books/pdfview/book/3266 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-800-6 10.3390/books978-3-03943-800-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039437993 9783039438006 138 Basel, Switzerland open access
spellingShingle 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
Advances in Vehicular Networks
title Advances in Vehicular Networks
title_full Advances in Vehicular Networks
title_fullStr Advances in Vehicular Networks
title_full_unstemmed Advances in Vehicular Networks
title_short Advances in Vehicular Networks
title_sort advances in vehicular networks
topic 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
topic_facet 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
url ONIX_20210501_9783039437993_12