Algorithmic Mechanism Design for Internet of Things Services Market : Design Incentive Mechanisms to Facilitate the Efficiency and Sustainability of IoT Ecosystem / by Yutao Jiao, Ping Wang, Dusit Niyato
By: Jiao, Yutao, autor
Material type:
E-bookPublisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XIII, 110 páginas) : 34 ilustraciones, 32 ilustraciones a color.ISBN: 9789811673535.Subject: Internet de los objetos
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5105.8857 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.09012779 |
Chapter1. 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.
This 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.
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