Deploying a Reliable UAV-Aided Communication Service in Disaster Areas
When telecommunication infrastructure is damaged by natural disasters, creating a network that can handle voice channels can be vital for search and rescue missions. Unmanned Aerial Vehicles (UAV) equipped with WiFi access points could be rapidly deployed to provide wireless coverage to ground users...
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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2019/7521513 |
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doaj-8f298b0735974136a45673b3e386fcdd2020-11-24T21:53:29ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772019-01-01201910.1155/2019/75215137521513Deploying a Reliable UAV-Aided Communication Service in Disaster AreasVicente Mayor0Rafael Estepa1Antonio Estepa2German Madinabeitia3Department of Telematics Engineering, Escuela Superior de Ingenieros, Universidad de Sevilla, C/ Camino de los Descubrimientos s/n, 41092 Sevilla, SpainDepartment of Telematics Engineering, Escuela Superior de Ingenieros, Universidad de Sevilla, C/ Camino de los Descubrimientos s/n, 41092 Sevilla, SpainDepartment of Telematics Engineering, Escuela Superior de Ingenieros, Universidad de Sevilla, C/ Camino de los Descubrimientos s/n, 41092 Sevilla, SpainDepartment of Telematics Engineering, Escuela Superior de Ingenieros, Universidad de Sevilla, C/ Camino de los Descubrimientos s/n, 41092 Sevilla, SpainWhen telecommunication infrastructure is damaged by natural disasters, creating a network that can handle voice channels can be vital for search and rescue missions. Unmanned Aerial Vehicles (UAV) equipped with WiFi access points could be rapidly deployed to provide wireless coverage to ground users. This WiFi access network can in turn be used to provide a reliable communication service to be used in search and rescue missions. We formulate a new problem for UAVs optimal deployment which considers not only WiFi coverage but also the mac sublayer (i.e., quality of service). Our goal is to dispatch the minimum number of UAVs for provisioning a WiFi network that enables reliable VoIP communications in disaster scenarios. Among valid solutions, we choose the one that minimizes energy expenditure at the user’s WiFi interface card in order to extend ground user’s smartphone battery life as much as possible. Solutions are found using well-known heuristics such as K-means clusterization and genetic algorithms. Via numerical results, we show that the IEEE 802.11 standard revision has a decisive impact on the number of UAVs required to cover large areas, and that the user’s average energy expenditure (attributable to communications) can be reduced by limiting the maximum altitude for drones or by increasing the VoIP speech quality.http://dx.doi.org/10.1155/2019/7521513 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vicente Mayor Rafael Estepa Antonio Estepa German Madinabeitia |
spellingShingle |
Vicente Mayor Rafael Estepa Antonio Estepa German Madinabeitia Deploying a Reliable UAV-Aided Communication Service in Disaster Areas Wireless Communications and Mobile Computing |
author_facet |
Vicente Mayor Rafael Estepa Antonio Estepa German Madinabeitia |
author_sort |
Vicente Mayor |
title |
Deploying a Reliable UAV-Aided Communication Service in Disaster Areas |
title_short |
Deploying a Reliable UAV-Aided Communication Service in Disaster Areas |
title_full |
Deploying a Reliable UAV-Aided Communication Service in Disaster Areas |
title_fullStr |
Deploying a Reliable UAV-Aided Communication Service in Disaster Areas |
title_full_unstemmed |
Deploying a Reliable UAV-Aided Communication Service in Disaster Areas |
title_sort |
deploying a reliable uav-aided communication service in disaster areas |
publisher |
Hindawi-Wiley |
series |
Wireless Communications and Mobile Computing |
issn |
1530-8669 1530-8677 |
publishDate |
2019-01-01 |
description |
When telecommunication infrastructure is damaged by natural disasters, creating a network that can handle voice channels can be vital for search and rescue missions. Unmanned Aerial Vehicles (UAV) equipped with WiFi access points could be rapidly deployed to provide wireless coverage to ground users. This WiFi access network can in turn be used to provide a reliable communication service to be used in search and rescue missions. We formulate a new problem for UAVs optimal deployment which considers not only WiFi coverage but also the mac sublayer (i.e., quality of service). Our goal is to dispatch the minimum number of UAVs for provisioning a WiFi network that enables reliable VoIP communications in disaster scenarios. Among valid solutions, we choose the one that minimizes energy expenditure at the user’s WiFi interface card in order to extend ground user’s smartphone battery life as much as possible. Solutions are found using well-known heuristics such as K-means clusterization and genetic algorithms. Via numerical results, we show that the IEEE 802.11 standard revision has a decisive impact on the number of UAVs required to cover large areas, and that the user’s average energy expenditure (attributable to communications) can be reduced by limiting the maximum altitude for drones or by increasing the VoIP speech quality. |
url |
http://dx.doi.org/10.1155/2019/7521513 |
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