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007			cr nn nnnaamaa
710	2		_aSpringerLink (Online service) _9106996
999			_c110521 _d110521 _x1
001			110521
003			ES-MaUEC
005			20230102113425.0
008			181029s2019 gw a o |||| 0|eng d
020			_a9783030017316
024	7		_a10.1007/978-3-030-01731-6 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK5105.77 _b2019 EB
245	0	0	_aLearning-Based VANET Communication and Security Techniques _cLiang Xiao [y otros tres]
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (IX, 134 páginas) _b54 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aWireless Networks _x2366-1186
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	3		_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.
988			_aPrimersemestre_2019_Engineering
650		7	_2embne _aRedes informáticas _9141354
650		7	_2embne _aSistemas de comunicación móviles _9147646
700	1		_aXiao, Liang, _eautor _9670373 _d1980-
776	0	8	_iPrinted edition: _z9783030017309
776	0	8	_iPrinted edition: _z9783030017323
776	0	8	_iPrinted edition: _z9783030131920
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-01731-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b08/2019 _eel _zSI