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UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment

Cui, Kai ; Baumgärtner, Lars ; Yilmaz, Mustafa Burak ; Li, Mengguang ; Fabian, Christian ; Becker, Benjamin ; Xiang, Lin ; Bauer, Maximilian ; Koeppl, Heinz (2023)
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
48th Conference on Local Computer Networks. Daytona Beach, USA (02.10.2023 - 05.10.2023)
doi: 10.1109/LCN58197.2023.10223388
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Both data ferrying with disruption-tolerant networking (DTN) and mobile cellular base stations constitute important techniques for UAV-aided communication in situations of crises where standard communication infrastructure is unavailable. For optimal use of a limited number of UAVs, we propose providing both DTN and a cellular base station on each UAV. Here, DTN is used for large amounts of low-priority data, while capacity-constrained cell coverage remains reserved for emergency calls or command and control. We optimize cell coverage via a novel optimal transport-based formulation using alternating minimization, while for data ferrying we periodically deliver data between dynamic clusters by solving quadratic assignment problems. In our evaluation, we consider different scenarios with varying mobility models and a wide range of flight patterns. Overall, we tractably achieve optimal cell coverage under quality-of-service costs with DTN-based data ferrying, enabling large-scale deployment of UAV swarms for crisis communication.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Cui, Kai ; Baumgärtner, Lars ; Yilmaz, Mustafa Burak ; Li, Mengguang ; Fabian, Christian ; Becker, Benjamin ; Xiang, Lin ; Bauer, Maximilian ; Koeppl, Heinz
Art des Eintrags: Bibliographie
Titel: UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment
Sprache: Englisch
Publikationsjahr: 6 September 2023
Verlag: IEEE
Buchtitel: 2023 IEEE 48th Conference on Local Computer Networks (LCN)
Veranstaltungstitel: 48th Conference on Local Computer Networks
Veranstaltungsort: Daytona Beach, USA
Veranstaltungsdatum: 02.10.2023 - 05.10.2023
DOI: 10.1109/LCN58197.2023.10223388
Kurzbeschreibung (Abstract):

Both data ferrying with disruption-tolerant networking (DTN) and mobile cellular base stations constitute important techniques for UAV-aided communication in situations of crises where standard communication infrastructure is unavailable. For optimal use of a limited number of UAVs, we propose providing both DTN and a cellular base station on each UAV. Here, DTN is used for large amounts of low-priority data, while capacity-constrained cell coverage remains reserved for emergency calls or command and control. We optimize cell coverage via a novel optimal transport-based formulation using alternating minimization, while for data ferrying we periodically deliver data between dynamic clusters by solving quadratic assignment problems. In our evaluation, we consider different scenarios with varying mobility models and a wide range of flight patterns. Overall, we tractably achieve optimal cell coverage under quality-of-service costs with DTN-based data ferrying, enabling large-scale deployment of UAV swarms for crisis communication.

Freie Schlagworte: emergenCITY_CPS, emergenCITY_KOM, emergenCITY
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet für Flugsysteme und Regelungstechnik (FSR)
18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Self-Organizing Systems Lab
20 Fachbereich Informatik
20 Fachbereich Informatik > Softwaretechnik
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Zentrale Einrichtungen
Zentrale Einrichtungen > Hochschulrechenzentrum (HRZ)
Zentrale Einrichtungen > Hochschulrechenzentrum (HRZ) > Hochleistungsrechner
Hinterlegungsdatum: 29 Apr 2024 05:30
Letzte Änderung: 20 Nov 2024 12:25
PPN: 517617196
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