【摘要】 针对移动群智感知系统中参与者积极性和数据质量不够高的问题，提出一种基于平台兴趣度的移动群智感知激励机制模型。上述机制根据感知平台对感知任务的候选参与者上传感知数据的质量以及他们完成任务时的努力程度来量化评估感知平台对该候选人产生的兴趣度。通过离线和在线结合的两步骤动态拍卖方法竞选出获胜者参与感知任务并予以相应报酬。实验结果表明，与现有方法相比，上述模型在数据集中能产生更大的平台效益以及消耗更少的运行时间。更多还原

【Abstract】 Aiming at the problem of insufficient enthusiasm and data quality of participants in the mobile crowd sensing system, this paper proposes an incentive mechanism model based on platform interest for mobile crowd sensing. The mechanism quantifies and evaluates the interest of the perception platform for the candidate according to the quality of the perception data uploaded by the candidate participants of the perception task to the perception platform and their efforts to complete the task. The winner is selected through a two-step dynamic auction method combining offline and online to participate in the perception task and be paid accordingly. Experimental results show that, compared with the existing methods, the model can generate greater platform benefits and consume less running time in the data set.更多还原