Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15152
DC FieldValueLanguage
dc.contributor.authorSánchez Rodríguez, David Cruz-
dc.contributor.authorHernández Morera, Pablo Vicente-
dc.contributor.authorQuinteiro González, José María-
dc.contributor.authorAlonso González, Itziar Goretti-
dc.contributor.otherSanchez, David-
dc.date.accessioned2015-11-30T11:38:30Z-
dc.date.accessioned2018-03-15T14:36:04Z-
dc.date.available2015-11-30T11:38:30Z-
dc.date.available2018-03-15T14:36:04Z-
dc.date.issued2015-
dc.identifier.issn1424-8220-
dc.identifier.urihttp://hdl.handle.net/10553/15152-
dc.description.abstractIndoor position estimation has become an attractive research topic due to growing interest in location-aware services. Nevertheless, satisfying solutions have not been found with the considerations of both accuracy and system complexity. From the perspective of lightweight mobile devices, they are extremely important characteristics, because both the processor power and energy availability are limited. Hence, an indoor localization system with high computational complexity can cause complete battery drain within a few hours. In our research, we use a data mining technique named boosting to develop a localization system based on multiple weighted decision trees to predict the device location, since it has high accuracy and low computational complexity. The localization system is built using a dataset from sensor fusion, which combines the strength of radio signals from different wireless local area network access points and device orientation information from a digital compass built-in mobile device, so that extra sensors are unnecessary. Experimental results indicate that the proposed system leads to substantial improvements on computational complexity over the widely-used traditional fingerprinting methods, and it has a better accuracy than they have.-
dc.languageeng-
dc.relation.ispartofSensors (Switzerland)-
dc.sourceSensors (Switzerland) [ISSN 1424-8220], v. 15 (6), p. 14809-14829 (Junio 2015)-
dc.subject3325 Tecnología de las telecomunicaciones-
dc.subject.otherWLAN indoor localization-
dc.subject.otherWeighted decision trees-
dc.subject.otherReceived signal strength-
dc.subject.otherOrientation-
dc.subject.otherSensor fusion-
dc.titleA low complexity system based on multiple weighted decision trees for indoor localization-
dc.typeinfo:eu-repo/semantics/Article-
dc.typeArticle-
dc.identifier.doi10.3390/s150614809-
dc.identifier.scopus84933576054-
dc.identifier.isi000357869200135-
dcterms.isPartOfSensors-
dcterms.sourceSensors [ISSN 1424-8220], v. 15 (6), p. 14809-14829-
dc.contributor.authorscopusid56690271600-
dc.contributor.authorscopusid36782546400-
dc.contributor.authorscopusid55548979800-
dc.contributor.authorscopusid56690273300-
dc.identifier.crisid3008;331;1722;1819-
dc.description.lastpage14829-
dc.identifier.issue6-
dc.description.firstpage14809-
dc.relation.volume15-
dc.investigacionIngeniería y Arquitectura-
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess-
dc.type2Artículo-
dc.identifier.wosWOS:000357869200135-
dc.contributor.daisngid3316951-
dc.contributor.daisngid7323508-
dc.contributor.daisngid7207504-
dc.contributor.daisngid3636243-
dc.description.notasThis article belongs to the Special Issue Sensors for Indoor Mapping and Navigation-
dc.identifier.investigatorRIDB-4519-2010-
dc.utils.revision-
dc.contributor.wosstandardWOS:Sanchez-Rodriguez, D-
dc.contributor.wosstandardWOS:Hernandez-Morera, P-
dc.contributor.wosstandardWOS:Quinteiro, JM-
dc.contributor.wosstandardWOS:Alonso-Gonzalez, I-
dc.date.coverdateJunio 2015-
dc.identifier.ulpgc-
dc.description.sjr0,591
dc.description.jcr2,033
dc.description.sjrqQ1
dc.description.jcrqQ3
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IDeTIC: División de Redes y Servicios Telemáticos-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Ingeniería Telemática-
crisitem.author.deptGIR IUMA: Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Telemática-
crisitem.author.deptGIR IUMA: Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Telemática-
crisitem.author.deptGIR IDeTIC: División de Redes y Servicios Telemáticos-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Ingeniería Telemática-
crisitem.author.orcid0000-0003-2700-1591-
crisitem.author.orcid0000-0002-0907-4765-
crisitem.author.orcid0000-0002-6525-1316-
crisitem.author.orcid0000-0001-8487-2559-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameSánchez Rodríguez, David De La Cruz-
crisitem.author.fullNameHernández Morera, Pablo Vicente-
crisitem.author.fullNameQuinteiro González, José María-
crisitem.author.fullNameAlonso González, Itziar Goretti-
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