Internet of Things; traffic management; autonomous unmanned aerial vehicles; multilayer networks
Résumé :
[en] 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.
Centre de recherche :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > PCOG
Disciplines :
Sciences informatiques
Auteur, co-auteur :
SAMIR LABIB, Nader ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
DANOY, Grégoire ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
MUSIAL, Jedrzej ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
BRUST, Matthias R. ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
BOUVRY, Pascal ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Internet of Unmanned Aerial Vehicles—A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management
Date de publication/diffusion :
03 novembre 2019
Titre du périodique :
Sensors
ISSN :
1424-8220
eISSN :
1424-3210
Maison d'édition :
Multidisciplinary Digital Publishing Institute, Basel, Suisse
Titre particulier du numéro :
UAV-Based Applications in the Internet of Things (IoT)