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• W2015473432 abstract "Sensing and monitoring of our natural environment are important for sustainability. As sensor systems grow to a large scale, it will become infeasible to place all sensors under centralized control. We investigate community sensing, where sensors are controlled by self-interested agents that report their measurements to a center. The center can control the agents only through incentives that motivate them to provide the most accurate and useful reports. We consider different game-theoretic mechanisms that provide such incentives and analyze their properties. As an example, we consider an application of community sensing for monitoring air pollution." @default.
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• W2015473432 date "2014-01-01" @default.
• W2015473432 modified "2023-10-03" @default.
• W2015473432 title "Incentive Mechanisms for Community Sensing" @default.
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• W2015473432 doi "https://doi.org/10.1109/tc.2013.150" @default.
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