Unmanned Aerial Vehicle-Aided Wireless Sensor Network Deployment System for Post-disaster Monitoring

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dc.authoridTuna, Gurkan/0000-0002-6466-4696
dc.authoridMumcu, Tarık Veli/0000-0002-8995-9300
dc.authorwosidTuna, Gurkan/AAG-4412-2019
dc.authorwosidMumcu, Tarık Veli/D-5045-2019
dc.contributor.authorTuna, Gurkan
dc.contributor.authorMumcu, Tarik Veli
dc.contributor.authorGulez, Kayhan
dc.contributor.authorGungor, Vehbi Cagri
dc.contributor.authorErturk, Hayrettin
dc.date.accessioned2024-06-12T11:17:21Z
dc.date.available2024-06-12T11:17:21Z
dc.date.issued2012
dc.departmentTrakya Üniversitesien_US
dc.description8th International Conference on Intelligent Computing (ICIC) -- JUL 25-29, 2012 -- Huangshan, PEOPLES R CHINAen_US
dc.description.abstractThis paper presents design strategies of using unmanned aerial vehicles (UAVs) to deploy wireless sensor networks (WSNs) for post-disaster monitoring. Natural disasters are unforeseeable events which cannot be prevented. But some recovery procedures can be followed to minimize their effects. Post-disaster monitoring is important to estimate the effects of disasters, which in turn is used to determine recovery procedures to be followed. We propose an UAV-aided unattended WSN deployment system. The system is a post-disaster solution which can be used anywhere required. In this study, we mainly evaluate the efficiency of localization and navigation performance of the proposed system. Our simulation studies with an AirRobot quadrotor helicopter in Unified System for Automation and Robot Simulation (USARSim) simulation platform show that UAVs can be used to deploy WSNs after disasters to monitor environmental conditions. Future work includes implementing the system using a hexarotor helicopter.en_US
dc.description.sponsorshipIEEE Computat Intelligence Soc,Int Neural Network Soc,Natl Sci Fdn China,Tongji Univen_US
dc.description.sponsorshipYildiz Technical University Scientific Research [2010-04-02-ODAP01, 2010-04-02-KAP05]en_US
dc.description.sponsorshipThis research has been supported by Yildiz Technical University Scientific Research Projects Coordination Department. Project Number: 2010-04-02-ODAP01 and Project Number: 2010-04-02-KAP05en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-642-31836-8
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.scopus2-s2.0-84865027717en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage298en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/24678
dc.identifier.volume304en_US
dc.identifier.wosWOS:000310938000044en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofEmerging Intelligent Computing Technology And Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWireless Sensor Networksen_US
dc.subjectUnmanned Aerial Vehiclesen_US
dc.subjectLocalization And Navigation Systemsen_US
dc.subjectGlobal Positioning Systemen_US
dc.subjectInertial Navigation Systemen_US
dc.subjectKalman Filteren_US
dc.titleUnmanned Aerial Vehicle-Aided Wireless Sensor Network Deployment System for Post-disaster Monitoringen_US
dc.typeConference Objecten_US

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