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Using generic cities to assess flying ad-hoc network (FANET) performance
Citation Link: https://doi.org/10.15480/882.14994
Publikationstyp
Journal Article
Date Issued
2025-02-01
Sprache
English
Author(s)
Marks, Tobias
TORE-DOI
Journal
Volume
16
Start Page
377
End Page
398
Article Number
102209
Citation
CEAS Aeronautical Journal 16: 377-398 (2025)
Publisher DOI
Scopus ID
Publisher
Springer
Flying ad-hoc networks (FANET) offer a solution to provide communication among unmanned aerial systems (UAS) without ground infrastructure and, hence, may provide redundancy if main terrestrial communication systems fail. With a strongly growing UAS market, this redundancy is of particular importance especially if the vehicles are operated over densely populated regions, such as urban areas. To further develop the FANET technology, it is, therefore, essential to understand and predict the performance requirements for such networks and the necessary systems as they arise from the different applications. However, with the diversity of cities, the problem arises that custom-made simulation models often lack generality. For this reason, in our work, we introduce an approach to generate randomized cities and to model UAS traffic for selected applications to assess different performance metrics of the FANET. This approach comprises the creation of randomized city geometries, the derivation of UAS traffic demand on these geometries, as well as the simulation of the flights of each individual vehicle. To showcase the capabilities of the approach, we generate an exemplary city and obtain characteristic datasets of the UAS traffic which are then used to assess the FANET performance for a selected FANET application using a simplified network model. We will show that FANET performance is strongly influenced by the extent of the demand, demand distribution over time, vehicle speed, and delivery network geometry.
Subjects
Ad-hoc network | Communication | Unmanned aerial vehicle
DDC Class
004: Computer Sciences
629.13: Aviation Engineering
307: Communities
621.3: Electrical Engineering, Electronic Engineering
Publication version
publishedVersion
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s13272-024-00801-2.pdf
Type
Main Article
Size
4.48 MB
Format
Adobe PDF