Cui, Kai ; Baumgärtner, Lars ; Yilmaz, Mustafa Burak ; Li, Mengguang ; Fabian, Christian ; Becker, Benjamin ; Xiang, Lin ; Bauer, Maximilian ; Koeppl, Heinz (2024)
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
2023 IEEE 48th Conference on Local Computer Networks (LCN). Daytona Beach, FL, USA (02.10.2023-05.10.2023)
doi: 10.26083/tuprints-00028857
Conference or Workshop Item, Secondary publication, Postprint
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Cui_et_al_2023_UAV_Swarms_for_Joint_Data_Ferrying_and_Dynamic_Cell_Coverage_via_Optimal_Transport_Descent_and_Quadratic_Assignment.pdf Copyright Information: In Copyright. Download (3MB) |
Item Type: | Conference or Workshop Item |
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Type of entry: | Secondary publication |
Title: | UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment |
Language: | English |
Date: | 17 December 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2023 |
Place of primary publication: | New York, NY |
Publisher: | IEEE |
Book Title: | 2023 IEEE 48th Conference on Local Computer Networks (LCN) |
Collation: | 8 Seiten |
Event Title: | 2023 IEEE 48th Conference on Local Computer Networks (LCN) |
Event Location: | Daytona Beach, FL, USA |
Event Dates: | 02.10.2023-05.10.2023 |
DOI: | 10.26083/tuprints-00028857 |
Corresponding Links: | |
Origin: | Secondary publication service |
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. |
Uncontrolled Keywords: | UAV swarms, data ferrying, cell coverage, alternating minimization, quadratic assignment problem |
Status: | Postprint |
URN: | urn:nbn:de:tuda-tuprints-288571 |
Classification DDC: | 500 Science and mathematics > 570 Life sciences, biology 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics |
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems 18 Department of Electrical Engineering and Information Technology > Self-Organizing Systems Lab |
Date Deposited: | 17 Dec 2024 09:57 |
Last Modified: | 17 Dec 2024 09:57 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/28857 |
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