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008			220329s2022 sz | s |||| 0|eng d
020			_a9783030965075
024	7		_a10.1007/978-3-030-96507-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7895.E42
050		4	_aTK5105.8857
100	1		_aPeng, Haixia _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685334
245	1	0	_aIntelligent Resource Management in Vehicular Networks _cby Haixia Peng, Qiang Ye, Xuemin Sherman Shen
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (XIII, 154 páginas) _b32 ilustraciones, 31 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aWireless Networks _x2366-1445
505	0		_aIntroduction -- Overview of Vehicular Networks -- Resource Management in Vehicular Networks -- MEC-Assisted Vehicular Networks -- Spectrum Resource Management in MEC-Assisted ADVNETs -- Multi-Dimensional Resource Management in MVNETs -- Multi-Dimensional Resource Management in UAV-Assisted MVNETs -- Conclusion.
520			_aThis book provides a comprehensive investigation on new technologies for future vehicular networks. The authors propose different schemes to efficiently manage the multi-dimensional resources for supporting diversified applications. The authors answer the questions of why connected and automated vehicle technology should be considered; how the multi-access edge computing (MEC) and unmanned aerial vehicle (UAV) technologies can be helpful to vehicular networks; how to efficiently manage the multi-dimensional resources to support different vehicular applications with guaranteed quality-of-service (QoS) requirements; and how to adopt optimization and AI technologies to achieve resource management in vehicular networks. The book is pertinent to researchers, professionals, academics and students in vehicular technologies. Provides a comprehensive resource management design for vehicular networks; Includes multi-resource management studies in highly dynamic wireless networks; Features applications of AI technologies in multi-dimensional resource management.
988			_aSpringer_Computer_2022
650		7	_2embne _9405815 _aSistemas inteligentes de transporte _vCongresos y asambleas
650		7	_2embne _9151458 _aVehículos eléctricos
700	1		_aYe, Qiang. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aShen, Xuemin Sherman. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030965068
776	0	8	_iPrinted edition: _z9783030965082
776	0	8	_iPrinted edition: _z9783030965099
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-96507-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE