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dc.creatorLópez Iturri, Peioes_ES
dc.creatorAguirre Gallego, Erikes_ES
dc.creatorAzpilicueta Fernández de las Heras, Leyrees_ES
dc.creatorAstrain Escola, José Javieres_ES
dc.creatorVilladangos Alonso, Jesúses_ES
dc.creatorFalcone Lanas, Francisco Javieres_ES
dc.date.accessioned2017-11-15T09:28:43Z
dc.date.available2017-11-15T09:28:43Z
dc.date.issued2017
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/2454/26183
dc.description.abstractThe advent of fully interactive environments within Smart Cities and Smart Regions requires the use of multiple wireless systems. In the case of user-device interaction, which finds multiple applications such as Ambient Assisted Living, Intelligent Transportation Systems or Smart Grids, among others, large amount of transceivers are employed in order to achieve anytime, anyplace and any device connectivity. The resulting combination of heterogeneous wireless network exhibits fundamental limitations derived from Coverage/Capacity relations, as a function of required Quality of Service parameters, required bit rate, energy restrictions and adaptive modulation and coding schemes. In this context, inherent transceiver density poses challenges in overall system operation, given by multiple node operation which increases overall interference levels. In this work, a deterministic based analysis applied to variable density wireless sensor network operation within complex indoor scenarios is presented, as a function of topological node distribution. The extensive analysis derives interference characterizations, both for conventional transceivers as well as wearables, which provide relevant information in terms of individual node configuration as well as complete network layout.en
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Economy and Competiveness under the Research Grant TEC2013-45585-C2-1-R.en
dc.format.extent24 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors 2017, 17(7), 1616en
dc.rights© 2017 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 (CC BY) license.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSmart citiesen
dc.subjectSmart regionsen
dc.subjectContext aware environmentsen
dc.subjectWireless sensor networks (WSN)en
dc.subjectInterference managementen
dc.titleChallenges in wireless system integration as enablers for indoor context aware environmentsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
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.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Citieses_ES
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.3390/s17071616
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TEC2013-45585en
dc.relation.publisherversionhttps://dx.doi.org/10.3390/s17071616
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen


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© 2017 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 (CC BY) license.
Except where otherwise noted, this item's license is described as © 2017 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 (CC BY) license.