Let Opportunistic Crowdsensors Work Together for Resource-efficient, Quality-aware Observations-Reference-Cited by-同舟云学术

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Let Opportunistic Crowdsensors Work Together for Resource-efficient, Quality-aware Observations

Published:2020-03 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Pervasive Computing and Communications (PerCom)
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Author:

Du Yifan,Sailhan Francoise,Issarny Valerie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9125449/9127351/09127391.pdf?arnumber=9127391

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Group Collaboration for Sensing Time Redundancy Optimization in Mobile Crowdsensing;IEEE Internet of Things Journal;2024-08-01

2. Dynamic Model Reduction for Decentralized Learning in Heterogeneous Mobile Networks;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25

3. Consent-driven Data Reuse in Multi-tasking Crowdsensing Systems: A Privacy-by-Design Solution;Pervasive and Mobile Computing;2022-07

4. Optimal integration of Demand Response Programs and electric vehicles into the SCUC;Sustainable Energy, Grids and Networks;2021-06

5. Consent-driven data use in crowdsensing platforms: When data reuse meets privacy-preservation;2021 IEEE International Conference on Pervasive Computing and Communications (PerCom);2021-03-22

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