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Everything about Crowdsensing
Crowdsourcing of mobile phone sensor data
Crowdsensing, sometimes referred to as mobile crowdsensing, is a technique where a large group of individuals having mobile devices capable of sensing and computing collectively share data and extract information to measure, map, analyze, estimate or infer (predict) any processes of common interest. In short, this means crowdsourcing of sensor data from mobile devices. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: CrowdsensingA 5-minute orientation
- Skim a recent paper: Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future PerspectivesInfluential work since 2022
- Pick up a classic book: Mobile CrowdsensingThe most-reprinted book on the subject
- Read the landmark paper: Mobile crowdsensing: current state and future challengesCited 1,798 times
- Go sideways: Indoor positioning systemA closely related topic
- Go sideways: Intelligent transportation systemA closely related topic
📖 Definitions
Noun The sensor measurement of a phenomenon (such as air pollution) by combining readings from numerous devices carried by different individuals.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Mobile crowdsensing: current state and future challenges
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones
Learning in the Air: Secure Federated Learning for UAV-Assisted Crowdsensing
Sparse mobile crowdsensing: challenges and opportunities
An Efficient Prediction-Based User Recruitment for Mobile Crowdsensing
Fostering participaction in smart cities: a geo-social crowdsensing platform
Security, Privacy, and Fairness in Fog-Based Vehicular Crowdsensing
🆕 Influential since 2022
Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives
Blockchain-Enabled Intelligent Transportation Systems: A Distributed Crowdsensing Framework
BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing
Enhancing Organizational Performance: Synergy of Cyber-Physical Systems, Cloud Services, and Crowdsensing
CMAB-Based Reverse Auction for Unknown Worker Recruitment in Mobile Crowdsensing
📚 Books worth reading
- 📕Mobile CrowdsensingCristian Borcea, Manoop Talasila · 2016
When Compressive Sensing Meets Mobile CrowdsensingLinghe Kong, Bowen Wang · 2019- 📕Mobile Crowd-SensingFan Ye, Yuanyuan Yang · 2018
- 📕Crowdsensing and DataAli Cheshmehzangi, Saeid Pourroostaei Ardakani · 2026
- 📕Privacy-Preserving in Mobile CrowdsensingChuan Zhang, Tong Wu · 2023
- 📕Incentive Mechanism for Mobile CrowdsensingYouqi Li, Fan Li · 2023
- 📕Multi-Dimensional Urban Sensing Using Crowdsensing DataChaocan Xiang, Panlong Yang · 2023
- 📕Mobile Crowdsensing and Remote Sensing in Smart CitiesChaker Abdelaziz Kerrache, Yesin Sahraoui · 2024
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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- Participatory sensing Participatory sensing is the concept of communities (or other groups of people) contributing sensory information to form a body of knowledge. A growth…
- Distributed GIS Distributed GIS refers to GI Systems that do not have all of the system components in the same physical location. This could be the processing, the database…
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- Mobile phone based sensing software Mobile phone–based sensing software is a class of software for mobile phones that uses the phone's sensors to acquire data about the user. Some applications…
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