Learning-based VANET Communication and Security Techniques (Record no. 76307)

000 -LEADER
fixed length control field 04383nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-030-01731-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214412.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181029s2019 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030017316
-- 978-3-030-01731-6
082 04 - CLASSIFICATION NUMBER
Call Number 621.384
100 1# - AUTHOR NAME
Author Xiao, Liang.
245 10 - TITLE STATEMENT
Title Learning-based VANET Communication and Security Techniques
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 134 p. 54 illus., 48 illus. in color.
490 1# - SERIES STATEMENT
Series statement Wireless Networks,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1 Introduction -- 2 Learning-based Rogue Edge Detection in VANETs with Ambient Radio Signals -- 3 Learning While Offloading: Multi-armed Bandit Based Task Offloading in Vehicular Edge Computing Networks -- 4 Intelligent Network Access System for Vehicular Real-time Service Provisioning -- 5 UAV Relay in VANETs Against Smart Jamming with Reinforcement Learning -- 6 Conclusion and Future Work.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Zhuang, Weihua.
700 1# - AUTHOR 2
Author 2 Zhou, Sheng.
700 1# - AUTHOR 2
Author 2 Chen, Cailian.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-01731-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2019.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Wireless communication systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mobile communication systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data protection.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Wireless and Mobile Communication.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data and Information Security.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2366-1445
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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