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710	2		_aSpringerLink (Online service) _9106996
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005			20230102113850.0
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008			191016s2020 gw a o |||| 0|eng d
020			_a9783030231859
024	7		_a10.1007/978-3-030-23185-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.585 _b2020 EB
100	1		_aYang, Yang _9672762
245	1	0	_aFog-Enabled Intelligent IoT Systems _cby Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou.
250			_aPrimera edición 2020
264		1	_aCham _bSpringer _c2020
300			_a1 recurso en línea (XVIII, 217 páginas) _b 72 ilustraciones, 58 ilustraciones a color.
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- IoT technologies and applications -- Fog computing architecture and technologies -- Challenges and solutions for cross-domain applications -- Fog-enabled intelligent transportation system -- Fog-enabled smart home and user behavior recognition -- Fog-enabled industrial 4.0 -- Fog-enabled wireless network self-optimization -- Conclusion.
520	3		_aThis book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, two fog-enabled frameworks with detailed technical approaches are proposed for realistic application scenarios with no or limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on these fog-enabled frameworks, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as Intelligent Transportation System, Smart Home, Industrial 4.0, Wireless Network Self-Optimization, and User Behavior Recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized in terms of service flexibility, scalability, quality, maintainability, cost efficiency, as well as latency. Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services Presents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledge Outlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services.
988			_aPrimersemestre_2020_Engineering
650		7	_2embne _aInformática en la nube _9666069
700	1		_aLuo, Xiliang _eautor
700	1		_aChu, Xiaoli _eautor
700	1		_aZhou, Ming-Tuo _eautor
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030231842
776	0	8	_iPrinted edition: _z9783030231866
776	0	8	_iPrinted edition: _z9783030231873
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-23185-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _eu _zSI