000			03057nam a22003375i 4500
001			401997
003			DE-He213
005			20240514120039.0
007			cr nn 008mamaa
008			240208s2024 sz | o |||| 0|eng d
020			_a9783031518195
024	7		_a10.1007/978-3-031-51819-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA329-348 _b2024 EB
050		4	_aTA345-345.5 _b2024 EB
100	1		_aZhang, Yan. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aDigital Twin : _bArchitectures, Networks, and Applications _cby Yan Zhang
250			_a1st ed. 2024.
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSimula SpringerBriefs on Computing _x2512-1685 _v16
505	0		_aChapter 1: Introduction -- Chapter 2: Digital Twin Models and Networks -- Chapter 3: Artificial Intelligence for Digital Twin -- Chapter 4: Edge Computing for Digital Twin -- Chapter 5: Blockchain for Digital Twin -- Chapter 6: Digital Twin for 6G Networks -- Chapter 7: Digital Twin for Aerial-Ground Networks -- Chapter 8: Digital Twin for Internet of Vehicles.
506	0		_aOpen Access
520			_aThis open access book offers comprehensive, self-contained knowledge on Digital Twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spaces in Metaverse. The objectives of this book are to provide the basic concepts of DT, to explore the promising applications of DT integrated with emerging technologies, and to give insights into the possible future directions of DT. For easy understanding, this book also presents several use cases for DT models and applications in different scenarios. The book starts with the basic concepts, models, and network architectures of DT. Then, we present the new opportunities when DT meets edge computing, Blockchain and Artificial Intelligence, and distributed machine learning (e.g., federated learning, multi-agent deep reinforcement learning). We also present a wide application of DT as an enabling technology for 6G networks, Aerial-Ground Networks, and Unmanned Aerial Vehicles (UAVs). The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of DT. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
942			_2lcc _cLE
988			_aSpringer_Engineering_2024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-51819-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999			_c401997 _d401997