| 期刊全稱 | Algorithmic Mechanism Design for Internet of Things Services Market | | 期刊簡稱 | Design Incentive Mec | | 影響因子2023 | Yutao Jiao,Ping Wang,Dusit Niyato | | 視頻video | http://file.papertrans.cn/153/152994/152994.mp4 | | 發(fā)行地址 | Proposes novel and effective models to capture the interactions in Internet of Things services market.Provides meaningful insights helping service providers develop rational and incentive compatible t | | 圖書封面 |  | | 影響因子 | 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. | | Pindex | Book 2022 |
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