Mobile Crowdsourcing
Springer International Publishing (Verlag)
978-3-031-32396-6 (ISBN)
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.
Crowdsourcing as a Future Collaborative Computing Paradigm.- Urban Mobility-Driven Crowdsensing: Recent Advances in Machine Learning Designs and Ubiquitous Applications.- Unknown User Recruitment in Mobile Crowdsourcing.- Quality-Aware Incentive Mechanism for Mobile Crowdsourcing.- Incentive mechanism design for mobile crowdsourcing without verification.- Stable Worker-Task Assignment in Mobile Crowdsensing Applications.- Spatio temporal Task Allocation in Mobile Crowdsensing.- Joint Data Collection and Truth Inference in Spatial Crowdsourcing.- Cost-quality Aware Compressive Mobile Crowdsensing.- Information Integrity in Participatory Crowd-Sensing via Robust Trust Models.- AI-Driven Attack Modeling and Defence Strategies in Mobile Crowdsensing: A special Case Study on Fake Tasks.- Traceable and Secure Data Sharing in Mobile Crowdsensing.- User Privacy Protection in MCS: Threats, Solutions and Open Issues.- CrowdsourcingThrough TinyML as aWay to Engage End-users in IoT Solutions.- Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health Intelligence.- Crowdsourcing Applications and Techniques in Computer Vision.- Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study.
Erscheinungsdatum | 19.07.2023 |
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Reihe/Serie | Wireless Networks |
Zusatzinfo | XII, 457 p. 135 illus., 126 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 865 g |
Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
Technik ► Nachrichtentechnik | |
Schlagworte | AI-Driven Application • Data-Driven Application • Data Inference • Incentive Mechanisms • mobile crowdsensing • privacy • security • spatial crowdsourcing • task allocation • User Recruitment |
ISBN-10 | 3-031-32396-3 / 3031323963 |
ISBN-13 | 978-3-031-32396-6 / 9783031323966 |
Zustand | Neuware |
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