Publication: Unmanned aerial vehicle-aided wireless sensor network deployment system for post-disaster monitoring
| dc.contributor.author | Tuna, Gürkan | |
| dc.contributor.author | Mumcu, Tarik Veli | |
| dc.contributor.author | Gülez, Kayhan | |
| dc.contributor.author | Güngör, Vehbi Çağrı | |
| dc.contributor.author | Erturk, Hayrettin | |
| dc.contributor.institution | Tuna, Gürkan, Department of Computer Programming, Trakya Üniversitesi, Edirne, Turkey | |
| dc.contributor.institution | Mumcu, Tarik Veli, Control and Automation Engineering Department, Yıldız Teknik Üniversitesi, Istanbul, Turkey | |
| dc.contributor.institution | Gülez, Kayhan, Control and Automation Engineering Department, Yıldız Teknik Üniversitesi, Istanbul, Turkey | |
| dc.contributor.institution | Güngör, Vehbi Çağrı, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey | |
| dc.contributor.institution | Erturk, Hayrettin, | |
| dc.date.accessioned | 2025-10-05T16:42:18Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | This 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. © 2012 Springer-Verlag. © 2012 Elsevier B.V., All rights reserved. | |
| dc.description.sponsorship | IEEE Computational Intelligence Society | |
| dc.description.sponsorship | International Neural Network Society | |
| dc.description.sponsorship | National Science Foundation of China | |
| dc.identifier.conferenceName | 8th International Conference on Emerging Intelligent Computing Technology and Applications, ICIC 2012 | |
| dc.identifier.conferencePlace | Huangshan | |
| dc.identifier.doi | 10.1007/978-3-642-31837-5_44 | |
| dc.identifier.endpage | 305 | |
| dc.identifier.issn | 18650937 | |
| dc.identifier.issn | 18650929 | |
| dc.identifier.scopus | 2-s2.0-84865027717 | |
| dc.identifier.startpage | 298 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-642-31837-5_44 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14719/13347 | |
| dc.identifier.volume | 304 CCIS | |
| dc.language.iso | en | |
| dc.relation.source | Communications in Computer and Information Science | |
| dc.subject.authorkeywords | Global Positioning System | |
| dc.subject.authorkeywords | Inertial Navigation System | |
| dc.subject.authorkeywords | Kalman Filter | |
| dc.subject.authorkeywords | Localization And Navigation Systems | |
| dc.subject.authorkeywords | Unmanned Aerial Vehicles | |
| dc.subject.authorkeywords | Wireless Sensor Networks | |
| dc.subject.authorkeywords | Design Strategies | |
| dc.subject.authorkeywords | Environmental Conditions | |
| dc.subject.authorkeywords | Localization And Navigation | |
| dc.subject.authorkeywords | Natural Disasters | |
| dc.subject.authorkeywords | Quadrotor Helicopter | |
| dc.subject.authorkeywords | Recovery Procedure | |
| dc.subject.authorkeywords | Robot Simulations | |
| dc.subject.authorkeywords | Simulation Platform | |
| dc.subject.authorkeywords | Simulation Studies | |
| dc.subject.authorkeywords | Unified System | |
| dc.subject.authorkeywords | Wireless Sensor Network (wsns) | |
| dc.subject.authorkeywords | Wireless Sensor Network Deployment | |
| dc.subject.authorkeywords | Disasters | |
| dc.subject.authorkeywords | Global Positioning System | |
| dc.subject.authorkeywords | Helicopters | |
| dc.subject.authorkeywords | Inertial Navigation Systems | |
| dc.subject.authorkeywords | Intelligent Computing | |
| dc.subject.authorkeywords | Kalman Filters | |
| dc.subject.authorkeywords | Navigation Systems | |
| dc.subject.authorkeywords | Wireless Sensor Networks | |
| dc.subject.authorkeywords | Unmanned Aerial Vehicles (uav) | |
| dc.subject.indexkeywords | Design strategies | |
| dc.subject.indexkeywords | Environmental conditions | |
| dc.subject.indexkeywords | Localization and navigation | |
| dc.subject.indexkeywords | Natural disasters | |
| dc.subject.indexkeywords | Quadrotor helicopter | |
| dc.subject.indexkeywords | Recovery procedure | |
| dc.subject.indexkeywords | Robot simulations | |
| dc.subject.indexkeywords | Simulation platform | |
| dc.subject.indexkeywords | Simulation studies | |
| dc.subject.indexkeywords | Unified system | |
| dc.subject.indexkeywords | Wireless sensor network (WSNs) | |
| dc.subject.indexkeywords | Wireless sensor network deployment | |
| dc.subject.indexkeywords | Disasters | |
| dc.subject.indexkeywords | Global positioning system | |
| dc.subject.indexkeywords | Helicopters | |
| dc.subject.indexkeywords | Inertial navigation systems | |
| dc.subject.indexkeywords | Intelligent computing | |
| dc.subject.indexkeywords | Kalman filters | |
| dc.subject.indexkeywords | Navigation systems | |
| dc.subject.indexkeywords | Wireless sensor networks | |
| dc.subject.indexkeywords | Unmanned aerial vehicles (UAV) | |
| dc.title | Unmanned aerial vehicle-aided wireless sensor network deployment system for post-disaster monitoring | |
| dc.type | Conference Paper | |
| dcterms.references | Akyìldìz, Ian Fuat, Wireless sensor networks: A survey, Computer Networks, 38, 4, pp. 393-422, (2002), Güngör, Vehbi Çağrı, Industrial wireless sensor networks: Challenges, design principles, and technical approaches, IEEE Transactions on Industrial Electronics, 56, 10, pp. 4258-4265, (2009), Ollero, Aníbal, AWARE: Platform for autonomous self-deploying and operation of wireless sensor-actuator networks cooperating with unmanned AeRial vehiclEs, (2007), Corke, Peter I., Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle, Proceedings - IEEE International Conference on Robotics and Automation, 2004, 4, pp. 3602-3608, (2004), Wang, Yu, Robot-assisted sensor network deployment and data collection, pp. 467-472, (2007), Younis, Mohamed F., Strategies and techniques for node placement in wireless sensor networks: A survey, Ad Hoc Networks, 6, 4, pp. 621-655, (2008), Advances in Service Robotics, (2008), Suzuki, Tsuyoshi, Autonomous deployment and restoration of Sensor Network using mobile robots, International Journal of Advanced Robotic Systems, 7, 2, pp. 105-114, (2010), Guivant, José E., Simultaneous localization and map building using natural features and absolute information, Robotics and Autonomous Systems, 40, 2-3, pp. 79-90, (2002), Huang, Jihua, A low-order DGPS-based vehicle positioning system under urban environment, IEEE/ASME Transactions on Mechatronics, 11, 5, pp. 567-575, (2006) | |
| dspace.entity.type | Publication | |
| local.indexed.at | Scopus | |
| person.identifier.scopus-author-id | 48862103700 | |
| person.identifier.scopus-author-id | 11540535700 | |
| person.identifier.scopus-author-id | 6602534829 | |
| person.identifier.scopus-author-id | 10739803300 | |
| person.identifier.scopus-author-id | 55336850300 |
