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Mobile crowdsensing harnesses the sensing power of modern smartphones tocollect and analyze data beyond the scale of what was previously possible. In amobile crowdsensing system, it is paramount to incentivize smartphone users toprovide sensing services in a timely and reliable manner. Given sensedinformation is often valid for a limited period of time, the capability ofsmartphone users to execute sensing tasks largely depends on their mobility,which is often uncertain. For this reason, in this paper we propose IncentMe, aframework that solves this fundamental problem by leveraging game-theoreticalreverse auction mechanism design. After demonstrating that the proposed problemis NP-hard, we derive two mechanisms that are parallelizable and achieve higherapproximation ratio than existing work. IncentMe has been extensively evaluatedon a road traffic monitoring application implemented using mobility traces oftaxi cabs in San Francisco, Rome, and Beijing. Results demonstrate that themechanisms in IncentMe outperform prior work by improving the efficiency inrecruiting participants by 30%.

IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility