000 04383nam a22006135i 4500
001 978-3-030-01731-6
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005 20220801214412.0
007 cr nn 008mamaa
008 181029s2019 sz | s |||| 0|eng d
020 _a9783030017316
_9978-3-030-01731-6
024 7 _a10.1007/978-3-030-01731-6
_2doi
050 4 _aTK5103.2-.4885
072 7 _aTJKW
_2bicssc
072 7 _aTEC061000
_2bisacsh
072 7 _aTJKW
_2thema
082 0 4 _a621.384
_223
100 1 _aXiao, Liang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938159
245 1 0 _aLearning-based VANET Communication and Security Techniques
_h[electronic resource] /
_cby Liang Xiao, Weihua Zhuang, Sheng Zhou, Cailian Chen.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aIX, 134 p. 54 illus., 48 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aWireless Networks,
_x2366-1445
505 0 _a1 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 _aThis 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.
650 0 _aWireless communication systems.
_93474
650 0 _aMobile communication systems.
_94051
650 0 _aData protection.
_97245
650 0 _aArtificial intelligence.
_93407
650 0 _aTelecommunication.
_910437
650 1 4 _aWireless and Mobile Communication.
_938160
650 2 4 _aData and Information Security.
_931990
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aZhuang, Weihua.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938161
700 1 _aZhou, Sheng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938162
700 1 _aChen, Cailian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938163
710 2 _aSpringerLink (Online service)
_938164
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030017309
776 0 8 _iPrinted edition:
_z9783030017323
776 0 8 _iPrinted edition:
_z9783030131920
830 0 _aWireless Networks,
_x2366-1445
_938165
856 4 0 _uhttps://doi.org/10.1007/978-3-030-01731-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76307
_d76307