Mobile crowdsensing (MCS) network means completing large-scale and complex sensing tasks in virtue of the mobile devices of ordinary users. Therefore, sufficient user participation plays a basic role in MCS. On the basis of studying and analyzing the strategy of user participation incentive mechanism, this paper proposes the user threshold-based cognition incentive strategy against the shortcomings of existing incentive strategies, such as task processing efficiency and budget control. The user threshold and the budget of processing subtasks are set at the very beginning. The platform selects the user set with the lowest threshold, and the best user for processing tasks according to users’ budget. The incentive cost of the corresponding users is calculated based on the user threshold at last. In conclusion, through the experiment validation and comparison with the existing user participation incentive mechanism, it was found that the user threshold-based incentive strategy is advantageous in improving the proportion of task completion and reducing the platform’s budget cost.

中文翻译：

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基于用户阈值的移动人群感知网络用户参与激励机制

移动人群感知（MCS）网络是指借助普通用户的移动设备来完成大规模，复杂的传感任务。因此，足够的用户参与在MCS中起基本作用。在研究和分析用户参与激励机制策略的基础上，针对任务处理效率和预算控制等现有激励策略的不足，提出了基于用户阈值的认知激励策略。用户阈值和处理子任务的预算在开始时就已设置。平台根据用户预算选择阈值最低的用户集和最佳用户来处理任务。最后根据用户阈值计算出相应用户的激励成本。结论，