当前位置: X-MOL 学术Comput. Netw. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
PAveMENT: a framework for the intelligent and safe navigation of unmanned aerial vehicles over optimal PAths in MobilE NeTworks
Computer Networks ( IF 5.6 ) Pub Date : 2020-12-30 , DOI: 10.1016/j.comnet.2020.107785
Mehdi Malboubi , Abhijeet Bhorkar , Frank Jiang

The demand for using Unmanned Aerial Vehicles (UAV) is increasing in different applications, such as delivery, environmental monitoring, media, and wireless internet access. In these applications, UAVs are enabled by a cellular device and act as aerial users that need to be served by the underlying mobile-wireless network. The large-scale and low-cost usage of UAVs in such applications/services requires a framework that enables the safe and optimal navigation of UAVs over wide areas. Current cellular mobile networks have the infrastructure and the capability for implementing such frameworks. In contrast to other related work [6,15], in this paper, we propose a framework, called PAveMENT, that provides safe and optimal paths for navigating UAVs where: a) they experience reliable and high-quality communications with the underlying cellular network; b) UAVs cannot fly over no-flying zones and interrupt public/private services, and c) UAVs have minimal impact on the ground users of the mobile network. These are important factors from the perspective of a cellular service provider, as the main enabler for navigating UAVs over wide areas. In this framework, providing safe-optimal paths are performed by constructing a graph around the local area of interest to fly over and computing a least-cost path from the source to the destination. In addition, unlike other related work, we use real network performance indicators, and practical path-loss models with proprietary operational parameters to evaluate the performance of this framework.



中文翻译:

铺装:在MobilE NeTworks中,通过最优PAth在无人驾驶飞机上进行智能,安全导航的框架

在交付,环境监控,媒体和无线互联网访问等不同应用中,使用无人机的需求不断增长。在这些应用中,无人飞行器由蜂窝设备启用,并充当需要由基础移动无线网络服务的空中用户。在这样的应用/服务中大规模低成本地使用无人机需要一个框架,该框架能够使无人机在宽广的区域内安全,最佳地导航。当前的蜂窝移动网络具有用于实现这种框架的基础设施和能力。与其他相关工作[6,15]相比,本文提出了一个称为PAveMENT的框架,该框架可提供安全最佳的导航无人机的路径,其中:a)与基础蜂窝网络之间进行可靠,高质量的通信;b)无人机不能在禁飞区上空飞行并中断公共/私人服务,并且c)无人机对移动网络的地面用户影响很小。从蜂窝服务提供商的角度来看,这些是重要因素,它们是在宽广范围内导航无人机的主要推动力。在此框架中,通过在感兴趣的局部区域周围构造一个图以飞越并计算从源到目的地的最小成本路径来提供安全最佳路径。此外,与其他相关工作不同,我们使用真实的网络性能指标以及带有专有操作参数的实用路径损耗模型来评估此框架的性能。

更新日期:2020-12-30
down
wechat
bug