Resilient UAVs Location Sharing Service Based on Information Freshness and Opportunistic Deliveries

arXiv - CS - Networking and Internet Architecture Pub Date : 2024-09-16 DOI:arxiv-2409.10708

Agnaldo Batista, Aldri Santos

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Abstract

Unmanned aerial vehicles (UAV) have been recognized as a versatile platform for a wide range of services. During the flight, these vehicles must avoid collisions to operate safely. In this way, they demand to keep spatial awareness, i.e., to know others in their coverage area. However, mobility and positioning aspects hamper building UAV network infrastructure to support reliable basic services. Thus, such vehicles call for a location service with up-to-date information resilient to false location injection threats. This work proposes FlySafe, a resilient UAVs location sharing service that employs opportunistic approaches to deliver UAVs' location. FlySafe takes into account the freshness of UAVs' location to maintain their spatial awareness. Further, it counts on the age of the UAV's location information to trigger device discovery. Simulation results showed that FlySafe achieved spatial awareness up to 94.15% of UAV operations, being resilient to~false locations injected in the network. Moreover, the accuracy in device discovery achieved 94.53% with a location error of less than 2 m.

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基于信息新鲜度和机会性投递的弹性无人机位置共享服务

无人驾驶飞行器（UAV）已被公认为可提供多种服务的多功能平台。在飞行过程中，这些飞行器必须避免碰撞才能安全运行。因此，它们需要保持空间感知，即了解其覆盖区域内的其他飞行器。然而，移动性和定位问题阻碍了无人飞行器网络基础设施的建设，从而无法支持可靠的基本服务。因此，这类飞行器需要一种具有最新信息的定位服务，以抵御虚假位置注入的威胁。本研究提出的 FlySafe 是一种有弹性的无人机位置共享服务，它采用机会主义方法来提供无人机的位置。FlySafe 考虑了无人机位置的新鲜度，以保持其空间感知能力。此外，它还依靠无人机位置信息的年龄来触发设备发现。仿真结果表明，FlySafe 在高达 94.15% 的无人机操作中实现了空间感知，并能抵御网络中注入的虚假位置。此外，设备发现的准确率达到 94.53%，定位误差小于 2 米。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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arXiv - CS - Networking and Internet Architecture

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