Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial Vehicles
The communication in quarantined areas, e.g., due to the new COVID-19 pandemic, between isolated areas and in areas with technical damage has resulted in a great deal of interest concerning the safety of the population. A new method for ensuring communication between different areas, using unmanned...
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Format: | Article |
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MDPI AG
2021-05-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/21/11/3572 |
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author | Razvan Udroiu Adrian Marius Deaconu Corina-Ştefania Nanau |
author_facet | Razvan Udroiu Adrian Marius Deaconu Corina-Ştefania Nanau |
author_sort | Razvan Udroiu |
collection | DOAJ |
description | The communication in quarantined areas, e.g., due to the new COVID-19 pandemic, between isolated areas and in areas with technical damage has resulted in a great deal of interest concerning the safety of the population. A new method for ensuring communication between different areas, using unmanned aerial vehicle (UAV) networks with a well-established mobility schedule is proposed. UAVs fly based on a mission plan using regular polygons covering an area from a map. The area is considered to be equidistantly covered with points, grouped in triangles which are further grouped into hexagons. In this paper, UAVs, including battery charging or battery swapping stations and light weight Wi-Fi boards, are used for the data transfer among drones and stations using delivery protocols. UAV network analysis and evaluation (lengths of the arcs in seconds) based on experimental preliminary flight tests are proposed. Multiple simulations are performed based on six DTN algorithms, single-copy, and multiple-copies algorithms, and the efficiency of data transmission (delivery rate and latency) is analyzed. A very good delivery rate of 0.973 is obtained using the newly introduced TD-UAV Dijkstra algorithm. |
first_indexed | 2024-03-10T11:11:56Z |
format | Article |
id | doaj.art-15ac075b5a1f4a17a4331c83c0c15cb0 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T11:11:56Z |
publishDate | 2021-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-15ac075b5a1f4a17a4331c83c0c15cb02023-11-21T20:40:26ZengMDPI AGSensors1424-82202021-05-012111357210.3390/s21113572Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial VehiclesRazvan Udroiu0Adrian Marius Deaconu1Corina-Ştefania Nanau2Department of Manufacturing Engineering, Transilvania University of Brasov, 29 Eroilor Boulevard, 500036 Brasov, RomaniaDepartment of Mathematics and Computer Science, Transilvania University of Brasov, 29 Eroilor Boulevard, 500036 Brasov, RomaniaDepartment of Mathematics and Computer Science, Transilvania University of Brasov, 29 Eroilor Boulevard, 500036 Brasov, RomaniaThe communication in quarantined areas, e.g., due to the new COVID-19 pandemic, between isolated areas and in areas with technical damage has resulted in a great deal of interest concerning the safety of the population. A new method for ensuring communication between different areas, using unmanned aerial vehicle (UAV) networks with a well-established mobility schedule is proposed. UAVs fly based on a mission plan using regular polygons covering an area from a map. The area is considered to be equidistantly covered with points, grouped in triangles which are further grouped into hexagons. In this paper, UAVs, including battery charging or battery swapping stations and light weight Wi-Fi boards, are used for the data transfer among drones and stations using delivery protocols. UAV network analysis and evaluation (lengths of the arcs in seconds) based on experimental preliminary flight tests are proposed. Multiple simulations are performed based on six DTN algorithms, single-copy, and multiple-copies algorithms, and the efficiency of data transmission (delivery rate and latency) is analyzed. A very good delivery rate of 0.973 is obtained using the newly introduced TD-UAV Dijkstra algorithm.https://www.mdpi.com/1424-8220/21/11/3572unmanned aerial vehicle (UAV) networkdronedelay tolerant networks (DTN)optimization algorithmsmobility schedulequarantined areas |
spellingShingle | Razvan Udroiu Adrian Marius Deaconu Corina-Ştefania Nanau Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial Vehicles Sensors unmanned aerial vehicle (UAV) network drone delay tolerant networks (DTN) optimization algorithms mobility schedule quarantined areas |
title | Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial Vehicles |
title_full | Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial Vehicles |
title_fullStr | Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial Vehicles |
title_full_unstemmed | Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial Vehicles |
title_short | Data Delivery in a Disaster or Quarantined Area Divided into Triangles Using DTN-Based Algorithms for Unmanned Aerial Vehicles |
title_sort | data delivery in a disaster or quarantined area divided into triangles using dtn based algorithms for unmanned aerial vehicles |
topic | unmanned aerial vehicle (UAV) network drone delay tolerant networks (DTN) optimization algorithms mobility schedule quarantined areas |
url | https://www.mdpi.com/1424-8220/21/11/3572 |
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