Multi-party Auction-based Incentive Mechanism of Data Market in Mobile Crowdsourcing

In order to incentivize mobile users (MUs) to actively participate in mobile crowdsourcing and contribute high-quality data, this paper introduces an auction mechanism in this scenario, which helps the data demander to integrate the data of the selected MUs by formulating an auction process, and then realizes the training of machine learning models. Finally, through a series of experiments on different datasets, we verify the efficiency of the proposed method and provide strong support for the further development of MCS.