移动群智感知中任务分配的研究

随着内置高性能传感器的移动智能终端的广泛应用，新兴的移动群智感知技术逐渐成为实时感知与收集环境信息的有效方式。为协调与鼓励用户参与感知任务，并最大限度地保证感知数据的有效性与可靠性，针对移动群智感知相关研究中的关键问题—任务分配进行了研究。首先，介绍移动群智感知的相关背景；其次，根据感知任务的要求对任务分配的约束条件进行分类；然后，讨论与分析了任务分配的研究现状，包括平台为中心的优化算法设计以及用户为中心的激励机制设计；最后，指出现有研究工作中的不足，展望了未来的研究方向。

Research on Task Assignment for Mobile Crowd Sensing

With the widespread adoption of smart mobile terminals with built-in high-performance sensors, the emerging mobile crowd sensing technique has gradually become an effective way to sense and collect environmental information in real time. In order to coordinate and encourage users to participate in sensing tasks as well as guarantee the validity and reliability of sensed data to the utmost, this paper studied the key issue in the related researches of mobile crowd sensing, i.e. the task assignment. Firstly, it introduced the relevant background of mobile crowd sensing. Secondly, it classified the constraints of task assignment according to the requirements of sensing tasks. Then, it discussed and analyzed the research situations of task assignment, including platform-centric optimization algorithm designs and user-centric incentive mechanism designs. Finally, it pointed out the shortcomings of existing work and prospected the future research direction.