9789819969203 - incentive mechanism for mobile crowdsensing: a game-theoretic approach (springerbriefs in computer science) von li, youqi; li, fan; yang, song; zhang, chuan (5 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2024
- Softcover
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Sprache: Englisch
Verlag: Springer Nature, 2024
- Softcover
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Paperback. Zustand: Brand New. 140 pages. 9.26x6.10x0.31 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Springer, 2024
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people's daily lives. These ubiquitous devices provide an opportunit…y to harness the wisdom of crowds by recruiting mobile users to collectively perform sensing tasks, which largely collect data about a wide range of human activities and the surrounding environment. However, users suffer from resource consumption such as battery, processing power, and storage, which discourages users' participation. To ensure the participation rate, it is necessary to employ an incentive mechanism to compensate users' costs such that users are willing to take part in crowdsensing.This book sheds light on the design of incentive mechanisms for MCS in the context of game theory. Particularly, this book presents several game-theoretic models for MCS in different scenarios. In Chapter 1, the authors present an overview of MCS and state the significance of incentive mechanism for MCS. Then, in Chapter 2, 3, 4, and 5, the authors propose a long-term incentive mechanism, a fair incentive mechanism, a collaborative incentive mechanism, and a coopetition-aware incentive mechanism for MCS, respectively. Finally, Chapter 6 summarizes this book and point out the future directions.This book is of particular interest to the readers and researchers in the field of IoT research, especially in the interdisciplinary field of network economics and IoT.
Sprache: Englisch
Verlag: Springer, 2024
- Softcover
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Taschenbuch. Zustand: Neu. Incentive Mechanism for Mobile Crowdsensing | A Game-theoretic Approach | Youqi Li (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9789819969203 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbie…ter: preigu.
Sprache: Englisch
Verlag: SPRINGER NATURE, 2024
- Softcover
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people¿s daily lives. These ubiquitous devices provide an op…portunity to harness the wisdom of crowds by recruiting mobile users to collectively perform sensing tasks, which largely collect data about a wide range of human activities and the surrounding environment. However, users suffer from resource consumption such as battery, processing power, and storage, which discourages users¿ participation. To ensure the participation rate, it is necessary to employ an incentive mechanism to compensate users¿ costs such that users are willing to take part in crowdsensing.This book sheds light on the design of incentive mechanisms for MCS in the context of game theory. Particularly, this book presents several game-theoretic models for MCS in different scenarios. In Chapter 1, the authors present an overview of MCS and state the significance of incentive mechanism for MCS. Then, in Chapter 2, 3, 4, and 5, the authors propose a long-term incentive mechanism, a fair incentive mechanism, a collaborative incentive mechanism, and a coopetition-aware incentive mechanism for MCS, respectively. Finally, Chapter 6 summarizes this book and point out the future directions.This book is of particular interest to the readers and researchers in the field of IoT research, especially in the interdisciplinary field of network economics and IoT.
