群智感知中激励机制实验综述及展望

Experimental Incentive Mechanisms for Crowd Sensing

通过对激励机制的讨论,认为激励机制是群智感知中最重要的研究内容之一,在保证参与者数量和提高感知数据准确性、覆盖率和及时性上起着不可忽视的重要作用。激励机制与群智感知中其他主要研究问题密切关联,如参与者选择、能耗优化、所收集数据质量优化等,所以此方面近来从实验到理论方案的研究,都是为了提供更综合、全面的激励步骤和保障各方利益。同时,还指出了激励机制在未来面临的一些挑战和机遇。

In this paper, by discussing the experimental studies of incentive mechanisms, we point out that incentive mechanism, one of key research issues in crowd sensing, plays an important role in guaranteeing a stable, optimal group of participants and increasing the accuracy, coverage, and timeliness of the sensing results. As incentive mechanisms are closely related to other important research issues in crowd sensing, such as participant selections, energy optimizations and improving the quality of sensing results, therefore, a considerable amount of research have been conducted recently, ranging from experimental studies to theoretical solutions. These aim to provide more comprehensive incentive procedures and/or protect benefits of different system stakeholders. We also point out some opportunities and challenges of incentive strategies used in crowd sensing,