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Performance of Sensor Data Process Offloading on 5G-Enabled UAVs
Recently, unmanned aerial vehicle (UAV)-oriented applications have been growing worldwide. Thus, there is a strong interest in using UAVs for applications requiring wide-area connectivity coverage. Such applications might be power line inspection, road inspection, offshore site monitoring, wind turb...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865724/ https://www.ncbi.nlm.nih.gov/pubmed/36679660 http://dx.doi.org/10.3390/s23020864 |
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author | Damigos, Gerasimos Lindgren, Tore Sandberg, Sara Nikolakopoulos, George |
author_facet | Damigos, Gerasimos Lindgren, Tore Sandberg, Sara Nikolakopoulos, George |
author_sort | Damigos, Gerasimos |
collection | PubMed |
description | Recently, unmanned aerial vehicle (UAV)-oriented applications have been growing worldwide. Thus, there is a strong interest in using UAVs for applications requiring wide-area connectivity coverage. Such applications might be power line inspection, road inspection, offshore site monitoring, wind turbine inspections, and others. The utilization of cellular networks, such as the fifth-generation (5G) technology, is often considered to meet the requirement of wide-area connectivity. This study quantifies the performance of 5G-enabled UAVs when sensor data throughput requirements are within the 5G network’s capability and when throughput requirements significantly exceed the capability of the 5G network, respectively. Our experimental results show that in the first case, the 5G network maintains bounded latency, and the application behaves as expected. In the latter case, the overloading of the 5G network results in increased latency, dropped packets, and overall degradation of the application performance. Our findings show that offloading processes requiring moderate sensor data rates work well, while transmitting all the raw data generated by the UAV’s sensors is not possible. This study highlights and experimentally demonstrates the impact of critical parameters that affect real-life 5G-enabled UAVs that utilize the edge-offloading power of a 5G cellular network. |
format | Online Article Text |
id | pubmed-9865724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98657242023-01-22 Performance of Sensor Data Process Offloading on 5G-Enabled UAVs Damigos, Gerasimos Lindgren, Tore Sandberg, Sara Nikolakopoulos, George Sensors (Basel) Article Recently, unmanned aerial vehicle (UAV)-oriented applications have been growing worldwide. Thus, there is a strong interest in using UAVs for applications requiring wide-area connectivity coverage. Such applications might be power line inspection, road inspection, offshore site monitoring, wind turbine inspections, and others. The utilization of cellular networks, such as the fifth-generation (5G) technology, is often considered to meet the requirement of wide-area connectivity. This study quantifies the performance of 5G-enabled UAVs when sensor data throughput requirements are within the 5G network’s capability and when throughput requirements significantly exceed the capability of the 5G network, respectively. Our experimental results show that in the first case, the 5G network maintains bounded latency, and the application behaves as expected. In the latter case, the overloading of the 5G network results in increased latency, dropped packets, and overall degradation of the application performance. Our findings show that offloading processes requiring moderate sensor data rates work well, while transmitting all the raw data generated by the UAV’s sensors is not possible. This study highlights and experimentally demonstrates the impact of critical parameters that affect real-life 5G-enabled UAVs that utilize the edge-offloading power of a 5G cellular network. MDPI 2023-01-12 /pmc/articles/PMC9865724/ /pubmed/36679660 http://dx.doi.org/10.3390/s23020864 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Damigos, Gerasimos Lindgren, Tore Sandberg, Sara Nikolakopoulos, George Performance of Sensor Data Process Offloading on 5G-Enabled UAVs |
title | Performance of Sensor Data Process Offloading on 5G-Enabled UAVs |
title_full | Performance of Sensor Data Process Offloading on 5G-Enabled UAVs |
title_fullStr | Performance of Sensor Data Process Offloading on 5G-Enabled UAVs |
title_full_unstemmed | Performance of Sensor Data Process Offloading on 5G-Enabled UAVs |
title_short | Performance of Sensor Data Process Offloading on 5G-Enabled UAVs |
title_sort | performance of sensor data process offloading on 5g-enabled uavs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865724/ https://www.ncbi.nlm.nih.gov/pubmed/36679660 http://dx.doi.org/10.3390/s23020864 |
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