@article{ref1,
title="Internet of unmanned aerial vehicles-a multilayer low-altitude airspace model for distributed UAV traffic management",
journal="Sensors (Basel)",
year="2019",
author="Labib, Nader S. and Danoy, Grégoire and Musial, Jedrzej and Brust, Matthias R. and Bouvry, Pascal",
volume="19",
number="21",
pages="s19214779-s19214779",
abstract="The rapid adoption of Internet of Things (IoT) has encouraged the integration of new connected devices such as Unmanned Aerial Vehicles (UAVs) to the ubiquitous network. UAVs promise a pragmatic solution to the limitations of existing terrestrial IoT infrastructure as well as bring new means of delivering IoT services through a wide range of applications. Owning to their potential, UAVs are expected to soon dominate the low-altitude airspace over populated cities. This introduces new research challenges such as the safe management of UAVs operation under high traffic demands. This paper proposes a novel way of structuring the uncontrolled, low-altitude airspace, with the aim of addressing the complex problem of UAV traffic management at an abstract level. The work, hence, introduces a model of the airspace as a weighted multilayer network of nodes and airways and presents a set of experimental simulation results using three UAV traffic management heuristics.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s19214779",
url="http://dx.doi.org/10.3390/s19214779"
}