移动群智感知系统的任务分配方法研究综述

Review of Task Assignment Mechanism for Mobile Crowdsensing System

近年来,随着移动智能终端性能和网络传输能力不断提升,移动群智感知系统得到广泛关注。参与者的趋利性易导致系统效用低且难以完成既定任务。因此,合理的任务分配机制能够保证系统采集较优质量数据、达到更广覆盖范围,并使系统效益最大化。本文首先概述移动群智感知基本概念和工作流程;然后分析移动群智感知系统任务分配环节的2个核心研究问题及相应解决方案;最后通过总结移动群智感知系统的任务分配研究工作,指明未来研究可能的热点方向。

In recent years, with the improvement of smart terminal devices and network transmission capacity, mobile crowdsensing systems have attracted wide attention. The profit-driven nature of the participants often result in the system with low utility and failure to achieve its goals, therefore, reasonable assignment of tasks can guarantee the system to obtain better data quality, wider coverage, and maximize the system utility. Firstly, this paper reviews the concept and the workflow 2 of mobile crowdsensing Then two core problems in task assignment and their solutions are discussed. Finally, according to the status of task assignment research, this paper prospect possible hot research direction in the future.