Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service

This paper formulates a new problem for the optimal placement of Unmanned Aerial Vehicles (UAVs) geared towards wireless coverage provision for Voice over WiFi (VoWiFi) service to a set of ground users confined in an open area. Our objective function is constrained by coverage and by VoIP speech qua...

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Detalles Bibliográficos
Autores: Mayor Gallego, Vicente Jesús, Estepa Alonso, Rafael María, Estepa Alonso, Antonio José, Madinabeitia Luque, Germán
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/102001
Acceso en línea:https://hdl.handle.net/11441/102001
https://doi.org/10.3390/s20164455
Access Level:acceso abierto
Palabra clave:UAV
Voice over IP
Wireless LAN
IEEE 802.11
Voice over IP over WiFi
VoWiFi
Quality of service
Energy
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spelling Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi ServiceMayor Gallego, Vicente JesúsEstepa Alonso, Rafael MaríaEstepa Alonso, Antonio JoséMadinabeitia Luque, GermánUAVVoice over IPWireless LANIEEE 802.11Voice over IP over WiFiVoWiFiQuality of serviceEnergyThis paper formulates a new problem for the optimal placement of Unmanned Aerial Vehicles (UAVs) geared towards wireless coverage provision for Voice over WiFi (VoWiFi) service to a set of ground users confined in an open area. Our objective function is constrained by coverage and by VoIP speech quality and minimizes the ratio between the number of UAVs deployed and energy efficiency in UAVs, hence providing the layout that requires fewer UAVs per hour of service. Solutions provide the number and position of UAVs to be deployed, and are found using well-known heuristic search methods such as genetic algorithms (used for the initial deployment of UAVs), or particle swarm optimization (used for the periodical update of the positions). We examine two communication services: (a) one bidirectional VoWiFi channel per user; (b) single broadcast VoWiFi channel for announcements. For these services, we study the results obtained for an increasing number of users confined in a small area of 100 m2 as well as in a large area of 10,000 m2. Results show that the drone turnover rate is related to both users’ sparsity and the number of users served by each UAV. For the unicast service, the ratio of UAVs per hour of service tends to increase with user sparsity and the power of radio communication represents 14–16% of the total UAV energy consumption depending on ground user density. In large areas, solutions tend to locate UAVs at higher altitudes seeking increased coverage, which increases energy consumption due to hovering. However, in the VoWiFi broadcast communication service, the traffic is scarce, and solutions are mostly constrained only by coverage. This results in fewer UAVs deployed, less total power consumption (between 20% and 75%), and less sensitivity to the number of served users.Junta de Andalucía Beca 2020/00000172Unión Europea FEDER 2014-2020MDPIIngeniería TelemáticaJunta de AndalucíaEuropean Union (UE)2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/102001https://doi.org/10.3390/s20164455reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSensors, 20 (16). Article number 4455.FEDER 2014-2020 Andalusia Tech programhttps://doi.org/10.3390/s20164455info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1020012026-06-17T12:51:07Z
dc.title.none.fl_str_mv Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
title Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
spellingShingle Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
Mayor Gallego, Vicente Jesús
UAV
Voice over IP
Wireless LAN
IEEE 802.11
Voice over IP over WiFi
VoWiFi
Quality of service
Energy
title_short Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
title_full Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
title_fullStr Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
title_full_unstemmed Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
title_sort Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service
dc.creator.none.fl_str_mv Mayor Gallego, Vicente Jesús
Estepa Alonso, Rafael María
Estepa Alonso, Antonio José
Madinabeitia Luque, Germán
author Mayor Gallego, Vicente Jesús
author_facet Mayor Gallego, Vicente Jesús
Estepa Alonso, Rafael María
Estepa Alonso, Antonio José
Madinabeitia Luque, Germán
author_role author
author2 Estepa Alonso, Rafael María
Estepa Alonso, Antonio José
Madinabeitia Luque, Germán
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería Telemática
Junta de Andalucía
European Union (UE)
dc.subject.none.fl_str_mv UAV
Voice over IP
Wireless LAN
IEEE 802.11
Voice over IP over WiFi
VoWiFi
Quality of service
Energy
topic UAV
Voice over IP
Wireless LAN
IEEE 802.11
Voice over IP over WiFi
VoWiFi
Quality of service
Energy
description This paper formulates a new problem for the optimal placement of Unmanned Aerial Vehicles (UAVs) geared towards wireless coverage provision for Voice over WiFi (VoWiFi) service to a set of ground users confined in an open area. Our objective function is constrained by coverage and by VoIP speech quality and minimizes the ratio between the number of UAVs deployed and energy efficiency in UAVs, hence providing the layout that requires fewer UAVs per hour of service. Solutions provide the number and position of UAVs to be deployed, and are found using well-known heuristic search methods such as genetic algorithms (used for the initial deployment of UAVs), or particle swarm optimization (used for the periodical update of the positions). We examine two communication services: (a) one bidirectional VoWiFi channel per user; (b) single broadcast VoWiFi channel for announcements. For these services, we study the results obtained for an increasing number of users confined in a small area of 100 m2 as well as in a large area of 10,000 m2. Results show that the drone turnover rate is related to both users’ sparsity and the number of users served by each UAV. For the unicast service, the ratio of UAVs per hour of service tends to increase with user sparsity and the power of radio communication represents 14–16% of the total UAV energy consumption depending on ground user density. In large areas, solutions tend to locate UAVs at higher altitudes seeking increased coverage, which increases energy consumption due to hovering. However, in the VoWiFi broadcast communication service, the traffic is scarce, and solutions are mostly constrained only by coverage. This results in fewer UAVs deployed, less total power consumption (between 20% and 75%), and less sensitivity to the number of served users.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/102001
https://doi.org/10.3390/s20164455
url https://hdl.handle.net/11441/102001
https://doi.org/10.3390/s20164455
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sensors, 20 (16). Article number 4455.
FEDER 2014-2020 Andalusia Tech program
https://doi.org/10.3390/s20164455
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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