Thanks to the advantages of flexible deployment and high mobility, unmanned aerial vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural plant protection, environment monitoring, and so on. With the development of UAV and sensor technologies, UAV-assisted data collection for the Internet of Things (IoT) has attracted increasing attention. In this article, the scenarios and key technologies of UAV-assisted data collection are comprehensively reviewed. First, we present the system model, including the network model and the mathematical model of UAV-assisted data collection for IoT. Then, we review the key technologies, including clustering of sensors, UAV data collection mode as well as joint path planning and resource allocation. Finally, the open problems are discussed from the perspectives of efficient multiple access as well as joint sensing and data collection. This article hopefully provides some guidelines and insights for researchers in the area of UAV-assisted data collection for IoT.

中文翻译：

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无人机辅助物联网数据收集：一项调查

由于部署灵活、机动性强等优点，无人机在灾害管理、农业植保、环境监测等领域得到了广泛应用。随着无人机和传感器技术的发展，用于物联网（IoT）的无人机辅助数据采集越来越受到关注。本文对无人机辅助数据采集的场景和关键技术进行了全面回顾。首先，我们介绍了系统模型，包括网络模型和无人机辅助物联网数据采集的数学模型。然后，我们回顾了关键技术，包括传感器集群、无人机数据采集模式以及联合路径规划和资源分配。最后，从高效的多路访问以及联合感知和数据收集的角度讨论了未解决的问题。本文希望为物联网无人机辅助数据收集领域的研究人员提供一些指导和见解。