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dc.contributor.authorMartínez Caro, José Manuel 
dc.contributor.authorCano Baños, María Dolores 
dc.date.accessioned2021-04-20T09:29:01Z
dc.date.available2021-04-20T09:29:01Z
dc.date.issued2019-11-03
dc.identifier.citationMartinez-Caro J-M, Cano M-D. IoT System Integrating Unmanned Aerial Vehicles and LoRa Technology: A Performance Evaluation Study. Wireless Communications & Mobile Computing. November 2019:1-12. doi:10.1155/2019/4307925es_ES
dc.identifier.issn1530-8669
dc.description.abstractNowadays, the popularity of the unmanned aerial vehicles (UAVs) is high, and it is expected that, in the next years, the implementation of UAVs in day-to-day service will be even greater. These new implementations make use of novel technologies encompassed under the term Internet of Things (IoT). One example of these technologies is Long-Range (LoRa), classified as a Low-Power Wide-Area Network (LPWAN) with low-cost, low-power consumption, large coverage area, and the possibility of a high number of connected devices. One fundamental part of a proper UAV-based IoT service deployment is performance evaluation. However, there is no standardized methodology for assessing the performance in these scenarios. This article presents a case study of an integrated UAV-LoRa system employed for air-quality monitoring. Each UAV is equipped with a set of sensors to measure several indicators of air pollution. In addition, each UAV also incorporates an embedded LoRa node for communication purposes. Given that mobility is key when evaluating the performance of these types of systems, we study eight different mobility models, focusing on the effect that the number of UAVs and their flying speed have on system performance. Through extensive simulations, performance is evaluated via multiple quality dimensions, encompassing the whole process from data acquisition to user experience. Results show that our performance evaluation methodology allows a complete understanding of the operation, and for this specific case study, the mobility model with the best performance is Pathway because the LoRa nodes are distributed and move orderly throughout the coverage area.es_ES
dc.description.sponsorshipThis work was supported by the AEI/FEDER-UE Project grant (TEC2016-76465.C2-1-R) (AIM).es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherWILEYes_ES
dc.relation.urihttp://web.a.ebscohost.com/ehost/detail/detail?vid=0&sid=669607dd-981c-4918-85b0-4fa679c579b9%40sessionmgr4006&bdata=JkF1dGhUeXBlPWlwLHNoaWImbGFuZz1lcyZzaXRlPWVob3N0LWxpdmU%3d#AN=139451356&db=egses_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleIoT System Integrating Unmanned Aerial Vehicles and LoRa Technology: A Performance Evaluation Studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subject.otherArquitectura y Tecnología de Computadorases_ES
dc.subject.otherLenguajes y Sistemas Informáticoses_ES
dc.subject.otherTeoría de la Señal y las Comunicacioneses_ES
dc.identifier.urihttp://hdl.handle.net/10317/9312
dc.peerreviewSies_ES
dc.identifier.doi10.1155/2019/4307925
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses_ES
dc.subject.unesco1203.18 Sistemas de Información, Diseño Componenteses_ES
dc.subject.unesco2203 Electrónicaes_ES
dc.contributor.convenianteUniversidad Politécnica de Cartagenaes_ES


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