Pennsylvania State Employees Credit Union
Mobile sensing exploits data contributed by mobile users (e.g., via their smart phones) to make sophisticated inferences about people and their surrounding and thus can be applied to environmental monitoring, traffic monitoring and healthcare. However, the large-scale deployment of mobile sensing applications is hindered by the lack of incentives for users to participate and the concerns on possible privacy leakage. Although incentive and privacy have been addressed separately in mobile sensing, it is still an open problem to address them simultaneously. In this paper, the authors propose two privacy-aware incentive schemes for mobile sensing to promote user participation.