Poster: TRIM
Author:
Affiliation:
1. School of Computer Science and Engineering, Beihang University, Beijing, China
Funder
A Foundation for the Author of National Excellent Doctoral Dissertation of PR China
China 973 program
the National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2789168.2795179
Reference5 articles.
1. Crowdsourcing to smartphones
2. TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing
3. How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint
4. Towards Truthful Mechanisms for Mobile Crowdsourcing with Dynamic Smartphones
5. A Truthful Online Auction for Tempo-spatial Crowdsourcing Tasks
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1. Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential Privacy;IEEE Transactions on Information Forensics and Security;2024
2. Maximum Profit Routing for Mobile Crowdsensing;2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);2022-05
3. Fair and size-scalable participant selection framework for large-scale mobile crowdsensing;Journal of Systems Architecture;2021-10
4. Promoting Users’ Participation in Mobile Crowdsourcing: A Distributed Truthful Incentive Mechanism (DTIM) Approach;IEEE Transactions on Vehicular Technology;2020-05
5. On Designing Strategy-Proof Budget Feasible Online Mechanism for Mobile Crowdsensing with Time-Discounting Values;IEEE Transactions on Mobile Computing;2020
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