Flight Planning Optimization of Multiple UAVs for Internet of Things

This article presents an approach to autonomous flight planning of Unmanned Aerial Vehicles (UAVs)-Drones as data collectors to the Internet of Things (IoT). We have proposed a model for only one aircraft, as well as for multiple ones. A clustering technique that extends the scope of the number of I...

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Autores principales:	Lucas Rodrigues, André Riker, Maria Ribeiro, Cristiano Both, Filipe Sousa, Waldir Moreira, Kleber Cardoso, Antonio Oliveira-Jr
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Internet of Things (IoT) Unmanned Aerial Vehicle (UAV) autonomous flight planning optimization Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/d4a14811e7984f63b63e6a98251f87b7
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id	oai:doaj.org-article:d4a14811e7984f63b63e6a98251f87b7
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spelling	oai:doaj.org-article:d4a14811e7984f63b63e6a98251f87b72021-11-25T18:58:53ZFlight Planning Optimization of Multiple UAVs for Internet of Things10.3390/s212277351424-8220https://doaj.org/article/d4a14811e7984f63b63e6a98251f87b72021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7735https://doaj.org/toc/1424-8220This article presents an approach to autonomous flight planning of Unmanned Aerial Vehicles (UAVs)-Drones as data collectors to the Internet of Things (IoT). We have proposed a model for only one aircraft, as well as for multiple ones. A clustering technique that extends the scope of the number of IoT devices (e.g., sensors) visited by UAVs is also addressed. The flight plan generated from the model focuses on preventing breakdowns due to a lack of battery charge to maximize the number of nodes visited. In addition to the drone autonomous flight planning, a data storage limitation aspect is also considered. We have presented the energy consumption of drones based on the aerodynamic characteristics of the type of aircraft. Simulations show the algorithm’s behavior in generating routes, and the model is evaluated using a reliability metric.Lucas RodriguesAndré RikerMaria RibeiroCristiano BothFilipe SousaWaldir MoreiraKleber CardosoAntonio Oliveira-JrMDPI AGarticleInternet of Things (IoT)Unmanned Aerial Vehicle (UAV)autonomous flight planningoptimizationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7735, p 7735 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Internet of Things (IoT) Unmanned Aerial Vehicle (UAV) autonomous flight planning optimization Chemical technology TP1-1185
spellingShingle	Internet of Things (IoT) Unmanned Aerial Vehicle (UAV) autonomous flight planning optimization Chemical technology TP1-1185 Lucas Rodrigues André Riker Maria Ribeiro Cristiano Both Filipe Sousa Waldir Moreira Kleber Cardoso Antonio Oliveira-Jr Flight Planning Optimization of Multiple UAVs for Internet of Things
description	This article presents an approach to autonomous flight planning of Unmanned Aerial Vehicles (UAVs)-Drones as data collectors to the Internet of Things (IoT). We have proposed a model for only one aircraft, as well as for multiple ones. A clustering technique that extends the scope of the number of IoT devices (e.g., sensors) visited by UAVs is also addressed. The flight plan generated from the model focuses on preventing breakdowns due to a lack of battery charge to maximize the number of nodes visited. In addition to the drone autonomous flight planning, a data storage limitation aspect is also considered. We have presented the energy consumption of drones based on the aerodynamic characteristics of the type of aircraft. Simulations show the algorithm’s behavior in generating routes, and the model is evaluated using a reliability metric.
format	article
author	Lucas Rodrigues André Riker Maria Ribeiro Cristiano Both Filipe Sousa Waldir Moreira Kleber Cardoso Antonio Oliveira-Jr
author_facet	Lucas Rodrigues André Riker Maria Ribeiro Cristiano Both Filipe Sousa Waldir Moreira Kleber Cardoso Antonio Oliveira-Jr
author_sort	Lucas Rodrigues
title	Flight Planning Optimization of Multiple UAVs for Internet of Things
title_short	Flight Planning Optimization of Multiple UAVs for Internet of Things
title_full	Flight Planning Optimization of Multiple UAVs for Internet of Things
title_fullStr	Flight Planning Optimization of Multiple UAVs for Internet of Things
title_full_unstemmed	Flight Planning Optimization of Multiple UAVs for Internet of Things
title_sort	flight planning optimization of multiple uavs for internet of things
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d4a14811e7984f63b63e6a98251f87b7
work_keys_str_mv	AT lucasrodrigues flightplanningoptimizationofmultipleuavsforinternetofthings AT andreriker flightplanningoptimizationofmultipleuavsforinternetofthings AT mariaribeiro flightplanningoptimizationofmultipleuavsforinternetofthings AT cristianoboth flightplanningoptimizationofmultipleuavsforinternetofthings AT filipesousa flightplanningoptimizationofmultipleuavsforinternetofthings AT waldirmoreira flightplanningoptimizationofmultipleuavsforinternetofthings AT klebercardoso flightplanningoptimizationofmultipleuavsforinternetofthings AT antoniooliveirajr flightplanningoptimizationofmultipleuavsforinternetofthings
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Flight Planning Optimization of Multiple UAVs for Internet of Things

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