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Optimization and Communication in UAV Networks

Nowadays, Unmanned Aerial Vehicles (UAVs) have received growing popularity in the Internet-of-Things (IoT) which often deploys many sensors in a relatively wide region. Current trends focus on deployment of a single UAV or a swarm of it to generally map an area, perform surveillance, monitoring or r...

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Detalles Bibliográficos
Autores principales: Caillouet, Christelle, Mitton, Nathalie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571105/
https://www.ncbi.nlm.nih.gov/pubmed/32899807
http://dx.doi.org/10.3390/s20185036
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author Caillouet, Christelle
Mitton, Nathalie
author_facet Caillouet, Christelle
Mitton, Nathalie
author_sort Caillouet, Christelle
collection PubMed
description Nowadays, Unmanned Aerial Vehicles (UAVs) have received growing popularity in the Internet-of-Things (IoT) which often deploys many sensors in a relatively wide region. Current trends focus on deployment of a single UAV or a swarm of it to generally map an area, perform surveillance, monitoring or rescue operations, collect data from ground sensors or various communicating devices, provide additional computing services close to data producers, etc. Applications are very diverse and call for different features or requirements. But UAV remain low-power battery powered devices that in addition to their mission, must fly and communicate. Thanks to wireless communications, they participate to mobile dynamic networks composed of UAV and ground sensors and thus many challenges have to be addressed to make UAV very efficient. And behind any UAV application, hides an optimization problem. There is still a criterion or multiple ones to optimize such as flying time, energy consumption, number of UAV, quantity of data to send/receive, etc.
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spelling pubmed-75711052020-10-28 Optimization and Communication in UAV Networks Caillouet, Christelle Mitton, Nathalie Sensors (Basel) Editorial Nowadays, Unmanned Aerial Vehicles (UAVs) have received growing popularity in the Internet-of-Things (IoT) which often deploys many sensors in a relatively wide region. Current trends focus on deployment of a single UAV or a swarm of it to generally map an area, perform surveillance, monitoring or rescue operations, collect data from ground sensors or various communicating devices, provide additional computing services close to data producers, etc. Applications are very diverse and call for different features or requirements. But UAV remain low-power battery powered devices that in addition to their mission, must fly and communicate. Thanks to wireless communications, they participate to mobile dynamic networks composed of UAV and ground sensors and thus many challenges have to be addressed to make UAV very efficient. And behind any UAV application, hides an optimization problem. There is still a criterion or multiple ones to optimize such as flying time, energy consumption, number of UAV, quantity of data to send/receive, etc. MDPI 2020-09-04 /pmc/articles/PMC7571105/ /pubmed/32899807 http://dx.doi.org/10.3390/s20185036 Text en © 2020 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 Editorial
Caillouet, Christelle
Mitton, Nathalie
Optimization and Communication in UAV Networks
title Optimization and Communication in UAV Networks
title_full Optimization and Communication in UAV Networks
title_fullStr Optimization and Communication in UAV Networks
title_full_unstemmed Optimization and Communication in UAV Networks
title_short Optimization and Communication in UAV Networks
title_sort optimization and communication in uav networks
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571105/
https://www.ncbi.nlm.nih.gov/pubmed/32899807
http://dx.doi.org/10.3390/s20185036
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