Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones

A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energy consumption, and flying laws, the number of...

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Autores principales:	İbrahim Atli, Metin Ozturk, Gianluca C. Valastro, Muhammad Zeeshan Asghar
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sustainable wireless connectivity energy saving UAV communication system 5G positioning Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/d68b14808ff747bdbcd00153add98c44
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spelling	oai:doaj.org-article:d68b14808ff747bdbcd00153add98c442021-11-25T16:12:51ZMulti-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones10.3390/a141103021999-4893https://doaj.org/article/d68b14808ff747bdbcd00153add98c442021-10-01T00:00:00Zhttps://www.mdpi.com/1999-4893/14/11/302https://doaj.org/toc/1999-4893A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energy consumption, and flying laws, the number of studies focused on the sustainability element of UAV-assisted networking in the literature was limited thus far. We present a solution to this problem in this study; specifically, we design a <i>Q</i>-learning-based UAV placement strategy for long-term wireless connectivity while taking into account major constraints such as altitude regulations, nonflight zones, and transmit power. The goal is to determine the best location for the UAV base station (BS) while reducing energy consumption and increasing the number of users covered. Furthermore, a weighting method is devised, allowing energy usage and the number of users served to be prioritized based on network/battery circumstances. The suggested <i>Q</i>-learning-based solution is contrasted to the standard <i>k</i>-means clustering method, in which the UAV BS is positioned at the centroid location with the shortest cumulative distance between it and the users. The results demonstrate that the proposed solution outperforms the baseline <i>k</i>-means clustering-based method in terms of the number of users covered while achieving the desired minimization of the energy consumption.İbrahim AtliMetin OzturkGianluca C. ValastroMuhammad Zeeshan AsgharMDPI AGarticlesustainable wireless connectivityenergy savingUAVcommunication system5GpositioningIndustrial engineering. Management engineeringT55.4-60.8Electronic computers. Computer scienceQA75.5-76.95ENAlgorithms, Vol 14, Iss 302, p 302 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sustainable wireless connectivity energy saving UAV communication system 5G positioning Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
spellingShingle	sustainable wireless connectivity energy saving UAV communication system 5G positioning Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95 İbrahim Atli Metin Ozturk Gianluca C. Valastro Muhammad Zeeshan Asghar Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones
description	A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energy consumption, and flying laws, the number of studies focused on the sustainability element of UAV-assisted networking in the literature was limited thus far. We present a solution to this problem in this study; specifically, we design a <i>Q</i>-learning-based UAV placement strategy for long-term wireless connectivity while taking into account major constraints such as altitude regulations, nonflight zones, and transmit power. The goal is to determine the best location for the UAV base station (BS) while reducing energy consumption and increasing the number of users covered. Furthermore, a weighting method is devised, allowing energy usage and the number of users served to be prioritized based on network/battery circumstances. The suggested <i>Q</i>-learning-based solution is contrasted to the standard <i>k</i>-means clustering method, in which the UAV BS is positioned at the centroid location with the shortest cumulative distance between it and the users. The results demonstrate that the proposed solution outperforms the baseline <i>k</i>-means clustering-based method in terms of the number of users covered while achieving the desired minimization of the energy consumption.
format	article
author	İbrahim Atli Metin Ozturk Gianluca C. Valastro Muhammad Zeeshan Asghar
author_facet	İbrahim Atli Metin Ozturk Gianluca C. Valastro Muhammad Zeeshan Asghar
author_sort	İbrahim Atli
title	Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones
title_short	Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones
title_full	Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones
title_fullStr	Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones
title_full_unstemmed	Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones
title_sort	multi-objective uav positioning mechanism for sustainable wireless connectivity in environments with forbidden flying zones
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d68b14808ff747bdbcd00153add98c44
work_keys_str_mv	AT ibrahimatli multiobjectiveuavpositioningmechanismforsustainablewirelessconnectivityinenvironmentswithforbiddenflyingzones AT metinozturk multiobjectiveuavpositioningmechanismforsustainablewirelessconnectivityinenvironmentswithforbiddenflyingzones AT gianlucacvalastro multiobjectiveuavpositioningmechanismforsustainablewirelessconnectivityinenvironmentswithforbiddenflyingzones AT muhammadzeeshanasghar multiobjectiveuavpositioningmechanismforsustainablewirelessconnectivityinenvironmentswithforbiddenflyingzones
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Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones

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