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| 008 | 211126s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811673535 | ||
| 024 | 7 |
_a10.1007/978-981-16-7353-5 _2doi |
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_aTR-AnTOB _beng _erda _cTR-AnTOB |
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| 041 | _aeng | ||
| 050 | 4 | _aTK5105.8857 | |
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_aUT _2bicssc |
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_aTEC007000 _2bisacsh |
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_aUT _2thema |
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| 090 | _aTK5105.8857EBK | ||
| 100 | 1 |
_aJiao, Yutao. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aAlgorithmic Mechanism Design for Internet of Things Services Market _h[electronic resource] : _bDesign Incentive Mechanisms to Facilitate the Efficiency and Sustainability of IoT Ecosystem / _cby Yutao Jiao, Ping Wang, Dusit Niyato. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2022. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 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. | ||
| 650 | 0 | _aInternet of things. | |
| 650 | 0 | _aCooperating objects (Computer systems). | |
| 650 | 1 | 4 | _aInternet of Things. |
| 650 | 2 | 4 | _aCyber-Physical Systems. |
| 653 | 0 | _aInternet industry | |
| 653 | 0 | _aResource allocation | |
| 700 | 1 |
_aWang, Ping. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aNiyato, Dusit. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-981-16-7353-5 _3Springer eBooks _zOnline access link to the resource |
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_2lcc _cEBK |
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