Publication

Incentive Mechanisms for Community Sensing

Boi Faltings, Radu Jurca, Jingshi Li
2014
Journal paper
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.

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