A Cross-Space, Multi-interaction-Based Dynamic Incentive Mechanism for Mobile Crowd Sensing

With the surge of varied crowd sensing systems, active user participation becomes a crucial factor that determines whether a crowd sensing system can provide good service quality. To encourage user participation in mobile crowd sensing, we propose a novel incentive mechanism called CSII -- a Cross-Space, multi-Interaction-based Incentive mechanism. CSII can estimate the value of a task based on the sensing context and historical data. It then has multiple interactions with both the task requester and the candidate contributors to provide a suggestion on budget and select suitable people to form the worker group. Finally, the requester pays the workers' reward that they deserved by reverse auction based on their reputation and bids. Both online and offline data are leveraged to estimate task value and user quality for a particular task. Experiments show that the incentive mechanism can achieve good performance in terms of acceptance ratio, overpayment ratio, user utility, and so on.