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Titlebook: Efficient Online Incentive Mechanism Designs for Wireless Communications; Gang Li,Jun Cai Book 2024 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 19:44:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Efficient Online Incentive Mechanism Designs for Wireless Communications
編輯Gang Li,Jun Cai
視頻videohttp://file.papertrans.cn/303/302991/302991.mp4
叢書(shū)名稱(chēng)SpringerBriefs in Computer Science
圖書(shū)封面Titlebook: Efficient Online Incentive Mechanism Designs for Wireless Communications;  Gang Li,Jun Cai Book 2024 The Editor(s) (if applicable) and The
描述.This book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context of edge computing systems, the authors model a nonlinear online incentive mechanism with the consideration of mobile users’ energy budget constraints. It also explores online incentive mechanism for collaborative task offloading in mobile edge computing to achieve on-arrival instant responses. This book not only disseminates current knowledge but also sheds light on future research directions...The design of incentive mechanisms in wireless communication systems is of paramount importance as it encourages dormant terminals within networks to contribute their valuable resources. The consideration of randomness of network processes enhances the mechanism design under online settings and decision making on the fly. This book endeavours to bridge existing
出版日期Book 2024
關(guān)鍵詞Online algorithm; incentive mechanism; crowdsensing; edge computing; nonlinear; power allocation; bandwidt
版次1
doihttps://doi.org/10.1007/978-3-031-58453-4
isbn_softcover978-3-031-58452-7
isbn_ebook978-3-031-58453-4Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 21:46:23 | 只看該作者
Der Gebrauch von Farbindicatorenuction framework. Moreover, in order to further improve the competitive ratio of the online algorithm, a more efficient online scheme is introduced when extra information on participants is available at the platform.
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發(fā)表于 2025-3-22 00:36:33 | 只看該作者
Religi?se und Soziale Utopistenear, nonlinear, and real-time decision online incentive mechanisms, exemplifying their applications in crowdsensing and EC networks. Since online incentive mechanisms consider more practical in comparison to traditional offline ones, it is believed that it would be one of the mainstream research topics in wireless communications.
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2191-5768 ee case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context o
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發(fā)表于 2025-3-22 19:33:48 | 只看該作者
https://doi.org/10.1007/978-3-662-26440-9nations are introduced. After that, we elaborate details on three fundamental approaches: primal-dual based online incentive mechanism design, Lyapunov-based online incentive mechanism design, and random-based online incentive mechanism design.
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Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget,ptimization problem and design a nonlinear online truthful mechanism based on the rule of Maximal-in-Distributional Range (MIDR). Finally, we reconsider energy constraints to design a new nonlinear online incentive mechanism by rationally combining the previously derived one-shot ones. Theoretical a
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