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dc.creatorAzpilicueta Fernández de las Heras, Leyrees_ES
dc.creatorLópez Iturri, Peioes_ES
dc.creatorAguirre Gallego, Erikes_ES
dc.creatorMateo Zozaya, Ignacioes_ES
dc.creatorAstrain Escola, José Javieres_ES
dc.creatorVilladangos Alonso, Jesúses_ES
dc.creatorFalcone Lanas, Francisco Javieres_ES
dc.date.accessioned2018-09-19T09:37:45Z
dc.date.available2018-09-19T09:37:45Z
dc.date.issued2014
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/2454/30728
dc.description.abstractThe use of wireless networks has experienced exponential growth due to the improvements in terms of battery life and low consumption of the devices. However, it is compulsory to conduct previous radio propagation analysis when deploying a wireless sensor network. These studies are necessary to perform an estimation of the range coverage, in order to optimize the distance between devices in an actual network deployment. In this work, the radio channel characterization for ISM 2.4 GHz Wireless Sensor Networks (WSNs) in an inhomogeneous vegetation environment has been analyzed. This analysis allows designing environment monitoring tools based on ZigBee and WiFi where WSN and smartphones cooperate, providing rich and customized monitoring information to users in a friendly manner. The impact of topology as well as morphology of the environment is assessed by means of an in-house developed 3D Ray Launching code, to emulate the realistic operation in the framework of the scenario. Experimental results gathered from a measurement campaign conducted by deploying a ZigBee Wireless Sensor Network, are analyzed and compared with simulations in this paper. The scenario where this network is intended to operate is a combination of buildings and diverse vegetation species. To gain insight in the effects of radio propagation, a simplified vegetation model has been developed, considering the material parameters and simplified geometry embedded in the simulation scenario. An initial location-based application has been implemented in a real scenario, to test the functionality within a context aware scenario. The use of deterministic tools can aid to know the impact of the topological influence in the deployment of the optimal Wireless Sensor Network in terms of capacity, coverage and energy consumption, making the use of these systems attractive for multiple applications in inhomogeneous vegetation environments.en
dc.description.sponsorshipThe authors wish to acknowledge the support of the Spanish Government: TIN2010-17170 UbiTrust, TIN2011-28347 and TEC2013-45585-C2-1-R.en
dc.format.extent12 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors, 14, 23650-23672en
dc.rights© 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectWireless sensor networken
dc.subjectVegetation environmenten
dc.subject3D ray launchingen
dc.titleAnalysis of radio wave propagation for ISM 2.4 GHz wireless sensor networks in inhomogeneous vegetation environmentsen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko eta Elektronikoa Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Matemática e Informáticaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Matematika eta Informatika Ingeniaritza Sailaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3390/s141223650
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/6PN/TIN2011-28347en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TEC2013-45585en
dc.relation.publisherversionhttps://doi.org/10.3390/s141223650
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license.
Except where otherwise noted, this item's license is described as © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license.