Unmanned Aerial Vehicles (UAVs) are well-developed technologies that were first utilized for military applications such as border monitoring and reconnaissance in hostile territories. With the advancement of the Internet of Things (IoT) systems and smart mobile devices, several applications in various industrial, agricultural, smart homes, smart cities, smart transportation, etc. domains have emerged. These applications usually require broad coverage, high energy consumption, computation-intensive processing, and access to rich data gathered by sensor devices. UAVs’ inherent features such as high dynamicity, low deployment and operational costs, quick deployment, and line of sight communication have motivated researchers in the IoT domain to consider UAVs integration into IoT systems toward the notion of UAV-assisted IoT systems. In this paper, recent literature on UAV-assisted services in IoT environments is studied. A service-oriented classification is applied in order to categorize the presented schemes into four broad domains of UAV-assisted data-related services, UAV-assisted battery charging, UAV-assisted communications, and UAV-assisted Mobile Edge Computing (MEC). The literature belonging to each category is summarized with respect to their main points. Finally, some possible future directions are discussed to highlight the challenges associated with designing UAV-assisted IoT systems.

无人机（UAV）是先进的技术，最初用于军事应用，例如边界监视和敌对领土侦察。随着物联网（IoT）系统和智能移动设备的发展，在各种工业，农业，智能家居，智能城市，智能交通等领域中出现了多种应用。这些应用通常需要广泛的覆盖范围，高能耗，计算密集型处理以及对传感器设备收集的丰富数据的访问。无人机的固有功能（例如高动态性，低部署和运营成本，快速部署和视线通信）促使IoT领域的研究人员考虑将无人机集成到IoT系统中，以支持UAV辅助IoT系统的概念。在本文中，研究了有关物联网环境中无人机辅助服务的最新文献。应用面向服务的分类是为了将提出的方案分类为UAV辅助数据相关服务，UAV辅助电池充电，UAV辅助通信和UAV辅助移动边缘计算（MEC）的四个广泛领域。归纳了每个类别的文献的要点。最后，讨论了一些可能的未来方向，以突出与设计无人机辅助物联网系统相关的挑战。和无人机辅助的移动边缘计算（MEC）。归纳了每个类别的文献的要点。最后，讨论了一些可能的未来方向，以突出与设计无人机辅助物联网系统相关的挑战。和无人机辅助的移动边缘计算（MEC）。归纳了每个类别的文献的要点。最后，讨论了一些可能的未来方向，以突出与设计无人机辅助物联网系统相关的挑战。