在当今5G时代，以物联网和无人机为代表的信息技术融合成为社会创新和经济发展的重要推动力，利用无人机技术来提升物联网数据采集性能成为一个新的重要研究课题。然而，现有的以低延时或高速率为指标的无人机数据采集技术并不能保证信息新鲜程度，无法满足工业控制等应用的需求。本项目面向高新鲜度物联网业务，研究无人机智能感知数据采集优化框架，从传感数据采样与传输环节出发，展开以下三个方面工作：1）研究单基站场景中信息年龄最小的无人机数据采集机制，解决时空两维无人机采集任务分配的问题；2）研究无人机数据采集中采样与传输的联合优化，解决无人机数据采集各环节耦合因素协调优化问题；3）研究多基站最优部署方案以及相应的无人机数据采集机制，解决无人机能量不可持续的问题。本项目研究成果将有助于挖掘无人机作为物联网移动数据采集器的优势及其应用潜力，为无人机与物联网技术的融合发展应用提供切实可行的理论基础和算法支持。

In today's 5G era, the integration of new information technologies represented by the Internet of Things (IoTs) and Unmanned Aerial Vehicle (UAV) has become an important driving force for social innovation and economic development. UAV-aided data collection for IoTs has become one of the most important research topics. However, the existing UAV-aided data collection schemes for low latency or high data rate cannot guarantee the freshness of the sensed information, and hence is not able to meet the requirements in IoTs such as industrial automation control. This project studies the optimization framework of UAV-aided data collection for high freshness and reliability in IoTs. From the aspects of sensor data sampling and transmission, the research contents are divided into the following three aspects: 1) Investigating the information age optimal UAV-aided data collection mechanism in the single base station scenario which can solve the problem of how to balance the space-time two-dimensional data collection tasks among UAVs; 2) Investigating the joint optimization of sensor data sampling and UAV-relayed transmission to solve the coupling problem in the whole process of UAV-aided intelligent data collection; 3) Investigating the optimal deployment scheme of multi-base stations and the corresponding UAV-aided data collection mechanism for solving the problem of unsustainable energy usage in UAVs. The research results of this project will help to tap the advantages and application potential of UAV as a mobile data collector in the IoTs, and provide practical theoretical basis and algorithm support for the integration of UAV technology and the Internet of Things.