Learning-based Vanet Communication and Security Techniques - Couverture rigide

Livre 28 sur 58: Wireless Networks

Xiao, Liang; Zhuang, Weihua; Zhou, Sheng; Chen, Cailian

 
9783030017309: Learning-based Vanet Communication and Security Techniques
Couverture rigide
ISBN 10 : 3030017303 ISBN 13 : 9783030017309
Editeur : Springer Nature Switzerland AG, 2018

Synopsis

This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as security, and network selection. Machine learning based methods are applied to solve these issues. This book also includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues. This book will also help readers understand how to use machine learning to address the security and communication challenges in VANETs.

Vehicular ad-hoc networks (VANETs) support vehicle-to-vehicle communications and vehicle-to-infrastructure communications to improve the transmission security, help build unmanned-driving, and support booming applications of onboard units (OBUs). The high mobility of OBUs and the large-scale dynamic network with fixed roadside units (RSUs) make the VANET vulnerable to jamming.

The anti-jamming communication of VANETs can be significantly improved by using unmanned aerial vehicles (UAVs) to relay the OBU message. UAVs help relay the OBU message to improve the signal-to-interference-plus-noise-ratio of the OBU signals, and thus reduce the bit-error-rate of the OBU message, especially if the serving RSUs are blocked by jammers and/or interference, which is also demonstrated in this book.

This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2018
Langue
anglais
ISBN 10 
3030017303
ISBN 13 
9783030017309
Reliure
Relié
Nombre de pages
143
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Allemagne

Autres éditions populaires du même titre

9783030131920: Learning-based VANET Communication and Security Techniques

Edition présentée

ISBN 10 :  3030131920 ISBN 13 :  9783030131920
Editeur : Springer, 2019
Couverture souple