论文标题
基于随机几何形状的多功能无人机分析，用于包装和数据传递
Stochastic Geometry-based Analysis of Multi-Purpose UAVs for Package and Data Delivery
论文作者
论文摘要
在许多实际情况下，使用无人机进行通信和运输引起了极大的关注，例如包装交付并提供其他无线覆盖范围。但是，未来对行业和学术界对无人机的需求不断增长，这将导致空中交通冲突。反过来，这激发了本文的想法：多功能无人机，同时充当空中无线数据继电器和航空运输方式，同时交付包装和数据。本文旨在分析使用无人机从物联网（IoT）设备收集和传递数据到地面基站（TBSS）的可行性，同时从仓库到居住区域运送包装。我们提出了一种算法，以优化无人机的轨迹，以最大化收集/交付的数据的大小，同时最大程度地减少有限的无人机电池电池的总往返时间。具体而言，我们使用从随机几何形状的工具来对物联网簇和TBSS的位置进行建模，并研究系统性能，方面的能源效率，收集/交付数据的平均大小以及包装交付时间。我们的数值结果表明，多功能无人机具有提高通信和运输网络效率的巨大潜力。
Using drones for communications and transportation is drawing great attention in many practical scenarios, such as package delivery and providing additional wireless coverage. However, the increasing demand for UAVs from industry and academia will cause aerial traffic conflicts in the future. This, in turn, motivates the idea of this paper: multi-purpose UAVs, acting as aerial wireless data relays and means of aerial transportation simultaneously, to deliver packages and data at the same time. This paper aims to analyze the feasibility of using drones to collect and deliver data from the Internet of Things (IoT) devices to terrestrial base stations (TBSs) while delivering packages from warehouses to residential areas. We propose an algorithm to optimize the trajectory of UAVs to maximize the size of collected/delivered data while minimizing the total round trip time subject to the limited onboard battery of UAVs. Specifically, we use tools from stochastic geometry to model the locations of the IoT clusters and the TBSs and study the system performance with respect to energy efficiency, average size of collected/delivered data, and package delivery time. Our numerical results reveal that multi-functional UAVs have great potential to enhance the efficiency of both communication and transportation networks.
