Incentive Mechanism for Mobile Crowdsensing: A Game-Theoretic Approach

Li, Youqi, Li, Fan, Yang, Song

Incentive Mechanism for Mobile Crowdsensing: A Game-Theoretic Approach
  • 出版商: Springer
  • 出版日期: 2024-01-05
  • 售價: $2,190
  • 貴賓價: 9.5 折 $2,081
  • 語言: 英文
  • 頁數: 129
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819969204
  • ISBN-13: 9789819969203

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 opportunity 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.


商品描述(中文翻譯)

行動群眾感知（Mobile crowdsensing, MCS）作為物聯網（Internet of Things, IoT）中的一種新興感知範式，隨著智慧裝置（例如智慧型手機、可穿戴裝置）在日常生活中的普及而逐漸受到重視。這些無處不在的裝置提供了一個利用群眾智慧的機會，通過招募行動用戶共同執行感知任務，廣泛收集有關人類活動及其周圍環境的數據。然而，用戶面臨著資源消耗的問題，例如電池、處理能力和儲存空間，這使得用戶參與的意願降低。為了確保參與率，有必要採用激勵機制來補償用戶的成本，以使他們願意參與群眾感知。

本書闡述了在博弈理論背景下為MCS設計激勵機制的相關內容。特別是，本書提出了幾個針對不同情境的MCS博弈理論模型。在第一章中，作者介紹了MCS的概述並說明了激勵機制對MCS的重要性。接著，在第二、三、四和五章中，作者分別提出了長期激勵機制、公平激勵機制、協作激勵機制和競合意識激勵機制。最後，第六章總結了本書並指出未來的研究方向。

本書對於物聯網研究領域的讀者和研究者特別具有吸引力，尤其是在網路經濟學與物聯網的跨學科領域中。

作者簡介

Youqi Li is currently an assistant professor in the School of Computer Science and Technology, Beijing Institute of Technology, China. He received the PhD degree in Computer Science and Technology from Beijing Institute of Technology, China, in 2020. From 2020 to 2022, he worked as postdoc researcher in the School of Cyberspace Science and Technology, Beijing Institute of Technology. His research interests include mobile crowdsensing, privacy, game theory, and federated learning.

Fan Li is currently a professor at the School of Computer Science and Technology in Beijing Institute of Technology, China. She received her PhD degree in Computer Science from the University of North Carolina at Charlotte, MEng degree in Electrical Engineering from the University of Delaware, MEng and BEng degrees in communications and information system from Huazhong University of Science and Technology, China, respectively. Her current research focuses on wireless networks, smartsensing, crowdsensing, and mobile computing. Her papers won Best Paper Awards from IEEE MASS (2013), IEEE IPCCC (2013), ACM MobiHoc (2014), and Tsinghua Science and Technology (2015). She is a member of ACM and IEEE.

Song Yang is currently an associate professor at School of Computer Science in Beijing Institute of Technology, China. Song Yang received the BS degree in software engineering and the MS degree in computer science from Dalian University of Technology, Dalian, Liaoning, China, in 2008 and 2010, respectively, and the PhD degree from Delft University of Technology, the Netherlands, in 2015. From August 2015 to August 2017, he worked as postdoc researcher for the EU FP7 Marie Curie Actions CleanSky Project in Gesellschaft fur wissenschaftliche Datenverarbeitung mbH Goettingen (GWDG), Goettingen, Germany. His research interests focus data communication networks, cloud/edge computing, and network function virtualization.

Chuan Zhang is currentlyan assistant professor at School of Cyberspace Science and Technology, Beijing Institute of Technology, China. He received his PhD degree in computer science from Beijing Institute of Technology, China, in 2021. He was a visiting student with the School of Electrical and Computer Engineering, University of Waterloo, Canada. He has published over 30 journal and conference papers. His research interests include secure data services in cloud computing, applied cryptography, machine learning, and blockchain.


作者簡介(中文翻譯)

Youqi Li 目前是中國北京理工大學計算機科學與技術學院的助理教授。他於2020年獲得北京理工大學計算機科學與技術博士學位。從2020年到2022年，他在北京理工大學網絡空間科學與技術學院擔任博士後研究員。他的研究興趣包括移動群眾感知、隱私、博弈論和聯邦學習。

Fan Li 目前是中國北京理工大學計算機科學與技術學院的教授。她在北卡羅來納大學夏洛特分校獲得計算機科學博士學位，在德拉瓦大學獲得電氣工程碩士學位，並在華中科技大學分別獲得通訊與信息系統的碩士和學士學位。她目前的研究重點是無線網絡、智能感知、群眾感知和移動計算。她的論文曾獲得IEEE MASS（2013）、IEEE IPCCC（2013）、ACM MobiHoc（2014）和清華科技（2015）的最佳論文獎。她是ACM和IEEE的成員。

Song Yang 目前是中國北京理工大學計算機學院的副教授。Song Yang於2008年和2010年分別在大連理工大學獲得軟體工程學士學位和計算機科學碩士學位，並於2015年在荷蘭代爾夫特理工大學獲得博士學位。從2015年8月到2017年8月，他在德國哥廷根的 Gesellschaft fur wissenschaftliche Datenverarbeitung mbH Goettingen (GWDG) 擔任歐盟第七框架計畫Marie Curie Actions CleanSky Project的博士後研究員。他的研究興趣集中在數據通信網絡、雲端/邊緣計算和網絡功能虛擬化。

Chuan Zhang 目前是中國北京理工大學網絡空間科學與技術學院的助理教授。他於2021年在北京理工大學獲得計算機科學博士學位。他曾在加拿大滑鐵盧大學電氣與計算機工程學院擔任訪問學生。他已發表超過30篇期刊和會議論文。他的研究興趣包括雲計算中的安全數據服務、應用密碼學、機器學習和區塊鏈。

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