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conference paper

Eliciting Truthful Measurements from a Community of Sensors

Faltings, Boi  
•
Li, Jason Jingshi
•
Jurca, Radu  
2012
PROCEEDINGS OF 2012 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS

As the Internet of Things grows to large scale, its components will increasingly be controlled by selfinterested agents. For example, sensor networks will evolve to community sensing where a community of agents combine their data into a single coherent structure. As there is no central quality control, agents need to be incentivized to provide accurate measurements. We propose game-theoretic mechanisms that provide such incentives and show their application on the example of community sensing for monitoring air pollution. These mechanisms can be applied to most sensing scenarios and allow the Internet of Things to grow to much larger scale than currently exists.

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