An Imperfect Monitoring Game-Theoretic Approach for Crowdsourcing Reliable Wireless Data
Author:
Affiliation:
1. Centre for Wireless Communications, University of Oulu, Oulu, Finland
2. School of Physics, Engineering and Technology, University of York, York, U.K.
Funder
Infotech Oulu through the Framework of Digital Solutions in Sensing and Interactions, Robust 6G Project of Finnish Research Council of Finland
EVOLVE Project through the EU’s MSCA Programme with Marie Skłodowska-Curie
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8782661/10362961/10525240.pdf?arnumber=10525240
Reference34 articles.
1. When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications
2. A Survey on Distributed Machine Learning
3. The rise of crowdsourcing;Howe;Wired Mag.,2006
4. White paper on crowdsourced network and QoE measurements–definitions, use cases and challenges;Hoßfeld;arXiv:2006.16896,2020
5. Eliciting Truthful Data From Crowdsourced Wireless Monitoring Modules in Cloud Managed Networks
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