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Indoor location using fingerprinting and fuzzy logic

dc.contributor.authorMestre, Pedro
dc.contributor.authorCoutinho, Luis
dc.contributor.authorReigoto, Luis
dc.contributor.authorMatias, João
dc.contributor.authorCorreia, Aldina
dc.contributor.authorCouto, Pedro
dc.contributor.authorSerôdio, Carlos
dc.date.accessioned2014-02-24T15:04:24Z
dc.date.available2014-02-24T15:04:24Z
dc.date.issued2012
dc.description.abstractIndoor location systems cannot rely on technologies such as GPS (Global Positioning System) to determine the position of a mobile terminal, because its signals are blocked by obstacles such as walls, ceilings, roofs, etc. In such environments. The use of alternative techniques, such as the use of wireless networks, should be considered. The location estimation is made by measuring and analysing one of the parameters of the wireless signal, usually the received power. One of the techniques used to estimate the locations using wireless networks is fingerprinting. This technique comprises two phases: in the first phase data is collected from the scenario and stored in a database; the second phase consists in determining the location of the mobile node by comparing the data collected from the wireless transceiver with the data previously stored in the database. In this paper an approach for localisation using fingerprinting based on Fuzzy Logic and pattern searching is presented. The performance of the proposed approach is compared with the performance of classic methods, and it presents an improvement between 10.24% and 49.43%, depending on the mobile node and the Fuzzy Logic parameters.łpor
dc.identifier.doi10.1007/978-3-642-24001-0_33pt_PT
dc.identifier.isbn978-3-642-24000-3
dc.identifier.isbn978-3-642-24001-0
dc.identifier.issn1867-5662
dc.identifier.urihttp://hdl.handle.net/10400.22/4026
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relation.ispartofseriesAdvances in Intelligent and Soft Computing; Vol. 107
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-642-24001-0_33por
dc.titleIndoor location using fingerprinting and fuzzy logicpor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage374por
oaire.citation.startPage363por
oaire.citation.titleEurofuse 2011: Workshop on Fuzzy Methods for Knowledge-Based Systemspor
oaire.citation.volumeVol. 107por
rcaap.rightsclosedAccesspor
rcaap.typebookPartpor

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