TY  - JOUR
PY  - 2019//
TI  - Internet of unmanned aerial vehicles-a multilayer low-altitude airspace model for distributed UAV traffic management
JO  - Sensors (Basel)
A1  - Labib, Nader S.
A1  - Danoy, Grégoire
A1  - Musial, Jedrzej
A1  - Brust, Matthias R.
A1  - Bouvry, Pascal
SP  - s19214779
EP  - s19214779
VL  - 19
IS  - 21
N2  - 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>
LA  - en
SN  - 1424-8220
UR  - http://dx.doi.org/10.3390/s19214779
ID  - ref1
ER  -