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008			230119s2022 si | s |||| 0|eng d
020			_a9789811673535
024	7		_a10.1007/978-981-16-7353-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.8857 _b2022 EB
100	1		_aJiao, Yutao _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686042
245	1	0	_aAlgorithmic Mechanism Design for Internet of Things Services Market : _bDesign Incentive Mechanisms to Facilitate the Efficiency and Sustainability of IoT Ecosystem _cby Yutao Jiao, Ping Wang, Dusit Niyato
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIII, 110 páginas) _b34 ilustraciones, 32 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aChapter1. Introduction -- Chapter2. Literature Review -- Chapter 3. Profit Maximization Mechanism and Data Management for Data Analytics Services -- Chapter 4. Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks -- Chapter 5. Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks -- Chapter 6. Summary and Future Work.
520			_aThis book establishes game-theoretical frameworks based on the mechanism design theory and proposes strategy-proof algorithms, to optimally allocate and price the related IoT services, so that the social welfare of IoT ecosystem or the service provider's revenue can be maximized and the IoT service provision can be sustainable. This book is written by experts based on the recent research results on the interaction between the service providers and users in the IoT system. Since the IoT networks are essentially supported by data, communication, and computing resources, the book focuses on three representative IoT services, including the data analytics services, the cloud/fog computing services for blockchain networks, and the wireless powered data crowdsourcing services. Researchers, scientists, and engineers in the field of resource allocation and service management for future IoT ecosystem can benefit from the book. As such, this book provides valuable insights and practical methods, especially the novel deep learning-based mechanism that can be considered in the emerging IoT technology.
988			_aSpringer_Engineering_2022
650		7	_2embne _9483083 _aInternet de los objetos
650		7	_2embne _9413157 _aGestión de empresas
776	0	8	_iPrinted edition: _z9789811673528
776	0	8	_iPrinted edition: _z9789811673542
776	0	8	_iPrinted edition: _z9789811673559
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-981-16-7353-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI