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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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Bibliographic Details
Main Author: Masini, Barbara Mavì
Other Authors: Silva, Cristiano M., Balador, Ali
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Machine Learning
Vulnerable Road User Detection
Resource Allocation
Vehicular Communication
Pedestrian
N/a
Cooperative Driving
Diagnosis
Safety
C-ran
Deep Learning
Aodv
History Of Engineering & Technology / Bicssc
5g Networks
End-to-end Delay
Vehicle-to-vehicle
Fault Detection
Smart Vehicles
Visible Light Communications
Connected Vehicles
Automotive
Intelligent Transportation Systems
Collision Probability
Packet Loss Ratio
Convolutional Neural Networks
Vehicle-to-everything Communication
Reconfigurable Meta-surface
Smart Environment
Field Trials
5g
Damper
Throughput
Vanet
Visible Light Communication
Edge Computing
Fresnel Lenses
Probabilistic Flooding
Vehicles
Infrastructure-to-vehicle
Optimization
Vehicular Networks
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (138 p.)
ISBN:books978-3-03943-800-6
9783039438006
9783039437993

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