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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