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Mobile Crowdsourcing

From Theory to Practice

  • Book
  • © 2023

Overview

Editors:
  1. Jie Wu

    1. Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. En Wang

    1. Jilin University, Changchun, China

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    You can also search for this editor in PubMed   Google Scholar

  • Exposes readers to the technical challenges in building a mobile crowdsourcing system
  • 17 chapters in total complements several other topic related books that have recently emerged
  • Each chapter starts with an introduction and overview of general crowdsourcing and mobile crowdsourcing

Part of the book series: Wireless Networks (WN)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xii
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  3. Key Technical Components: User Recruitment and Incentive Mechanisms

    1. Front Matter

      Pages 59-59
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    2. Unknown Worker Recruitment in Mobile Crowdsourcing

      • Mingjun Xiao, Yin Xu, He Sun
      Pages 61-90

    3. Quality-Aware Incentive Mechanism for Mobile Crowdsourcing

      • Haiming Jin, Lu Su
      Pages 91-116

    4. Incentive Mechanism Design for Mobile Crowdsourcing Without Verification

      • Chao Huang, Haoran Yu, Jianwei Huang, Randall Berry
      Pages 117-140

  4. Key Technical Components: Task Allocation

    1. Front Matter

      Pages 141-141
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    2. Stable Worker–Task Assignment in Mobile Crowdsensing Applications

      • Fatih Yucel, Murat Yuksel, Eyuphan Bulut
      Pages 143-162

    3. Spatiotemporal Task Allocation in Mobile Crowdsensing

      • Honglong Chen, Guoqi Ma, Yang Huang
      Pages 163-189

  5. Key Technical Components: Data Inference

    1. Front Matter

      Pages 191-191
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    2. Joint Data Collection and Truth Inference in Spatial Crowdsourcing

      • Xiong Wang
      Pages 193-224

    3. Cost-Quality Aware Compressive Mobile Crowdsensing

      • Yong Zhao, Zhengqiu Zhu, Bin Chen
      Pages 225-247

  6. Key Technical Components: Security and Privacy

    1. Front Matter

      Pages 249-249
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    2. Information Integrity in Participatory Crowd-Sensing via Robust Trust Models

      • Shameek Bhattacharjee, Sajal K. Das
      Pages 251-273

    3. AI-Driven Attack Modeling and Defense Strategies in Mobile Crowdsensing: A Special Case Study on Fake Tasks

      • Didem Cicek, Murat Simsek, Burak Kantarci
      Pages 275-297

    4. Traceable and Secure Data Sharing in Mobile Crowdsensing

      • Jinwen Liang, Song Guo
      Pages 299-320

    5. User Privacy Protection in MCS: Threats, Solutions, and Open Issues

      • Zhibo Wang, Xiaoyi Pang, Peng Sun, Jiahui Hu
      Pages 321-355

  7. Applications

    1. Front Matter

      Pages 357-357
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Keywords

About this book

This book offers the latest research results in recent development on the principles, techniques and applications in mobile crowdsourcing. It presents state-of-the-art content and provides an in-depth overview of the basic background in this related field. Crowdsourcing involves a large crowd of participants working together to contribute or produce goods and services for the society. The early 21st century applications of crowdsourcing can be called crowdsourcing 1.0, which includes businesses using crowdsourcing to accomplish various tasks, such as the ability to offload peak demand, access cheap labor, generate better results in a timely matter, and reach a wider array of talent outside the organization. 
 
Mobile crowdsensing can be described as an extension of crowdsourcing to the mobile network to combine the idea of crowdsourcing with the sensing capacity of mobile devices. As a promising paradigm for completing complex sensing and computationtasks, mobile crowdsensing serves the vital purpose of exploiting the ubiquitous smart devices carried by mobile users to make conscious or unconscious collaboration through mobile networks. Considering that we are in the era of mobile internet, mobile crowdsensing is developing rapidly and has great advantages in deployment and maintenance, sensing range and granularity, reusability, and other aspects. Due to the benefits of using mobile crowdsensing, many emergent applications are now available for individuals, business enterprises, and governments. In addition, many new techniques have been developed and are being adopted.
 
This book will be of value to researchers and students targeting this topic as a reference book.  Practitioners, government officials, business organizations and even customers -- working, participating or those interested in fields related to crowdsourcing will also want to purchase this book.

Editors and Affiliations

  • Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

    Jie Wu

  • Jilin University, Changchun, China

    En Wang

About the editors

Jie Wu: He is the Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing. He is a Fellow of the AAAS and the IEEE. His research interests focus on Mobile Computing and Wireless Networks, Cloud Computing, and Applied Machine Learning.

En Wang: He is a Full Professor in the Department of Computer Science and Technology at Jilin University. His current research focuses on Mobile Computing, Crowd Intelligence, and Data Mining.

Bibliographic Information

  • Book Title: Mobile Crowdsourcing

  • Book Subtitle: From Theory to Practice

  • Editors: Jie Wu, En Wang

  • Series Title: Wireless Networks

  • DOI: https://doi.org/10.1007/978-3-031-32397-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-32396-6Published: 18 July 2023

  • Softcover ISBN: 978-3-031-32399-7Due: 18 August 2023

  • eBook ISBN: 978-3-031-32397-3Published: 16 July 2023

  • Series ISSN: 2366-1186

  • Series E-ISSN: 2366-1445

  • Edition Number: 1

  • Number of Pages: XII, 457

  • Number of Illustrations: 9 b/w illustrations, 126 illustrations in colour

  • Topics: Computer Communication Networks, Wireless and Mobile Communication, Mobile and Network Security

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