Cargando…

Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm

Recently, drone shows have impressed many people through a convergence of technology and art. However, these demonstrations have limited operating hours based on the battery life. Thus, it is important to minimize the unnecessary transition time between scenes without collision to increase operating...

Descripción completa

Detalles Bibliográficos
Autores principales: Moon, SungTae, Lee, Donghun, Lee, Dongoo, Kim, Doyoon, Bang, Hyochoong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916484/
https://www.ncbi.nlm.nih.gov/pubmed/33578768
http://dx.doi.org/10.3390/s21041260
_version_ 1783657487559294976
author Moon, SungTae
Lee, Donghun
Lee, Dongoo
Kim, Doyoon
Bang, Hyochoong
author_facet Moon, SungTae
Lee, Donghun
Lee, Dongoo
Kim, Doyoon
Bang, Hyochoong
author_sort Moon, SungTae
collection PubMed
description Recently, drone shows have impressed many people through a convergence of technology and art. However, these demonstrations have limited operating hours based on the battery life. Thus, it is important to minimize the unnecessary transition time between scenes without collision to increase operating time. This paper proposes a fast and energy-efficient scene transition algorithm that minimizes the transition times between scenes. This algorithm reduces the maximum drone movement distance to increase the operating time and exploits a multilayer method to avoid collisions between drones. In addition, a swarming flight system including robust communication and position estimation is presented as a concrete experimental system. The proposed algorithm was verified using the swarming flight system at a drone show performed with 100 drones.
format Online
Article
Text
id pubmed-7916484
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-79164842021-03-01 Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm Moon, SungTae Lee, Donghun Lee, Dongoo Kim, Doyoon Bang, Hyochoong Sensors (Basel) Article Recently, drone shows have impressed many people through a convergence of technology and art. However, these demonstrations have limited operating hours based on the battery life. Thus, it is important to minimize the unnecessary transition time between scenes without collision to increase operating time. This paper proposes a fast and energy-efficient scene transition algorithm that minimizes the transition times between scenes. This algorithm reduces the maximum drone movement distance to increase the operating time and exploits a multilayer method to avoid collisions between drones. In addition, a swarming flight system including robust communication and position estimation is presented as a concrete experimental system. The proposed algorithm was verified using the swarming flight system at a drone show performed with 100 drones. MDPI 2021-02-10 /pmc/articles/PMC7916484/ /pubmed/33578768 http://dx.doi.org/10.3390/s21041260 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moon, SungTae
Lee, Donghun
Lee, Dongoo
Kim, Doyoon
Bang, Hyochoong
Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
title Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
title_full Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
title_fullStr Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
title_full_unstemmed Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
title_short Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
title_sort energy-efficient swarming flight formation transitions using the improved fair hungarian algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916484/
https://www.ncbi.nlm.nih.gov/pubmed/33578768
http://dx.doi.org/10.3390/s21041260
work_keys_str_mv AT moonsungtae energyefficientswarmingflightformationtransitionsusingtheimprovedfairhungarianalgorithm
AT leedonghun energyefficientswarmingflightformationtransitionsusingtheimprovedfairhungarianalgorithm
AT leedongoo energyefficientswarmingflightformationtransitionsusingtheimprovedfairhungarianalgorithm
AT kimdoyoon energyefficientswarmingflightformationtransitionsusingtheimprovedfairhungarianalgorithm
AT banghyochoong energyefficientswarmingflightformationtransitionsusingtheimprovedfairhungarianalgorithm