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dc.contributor.authorTapia Martínez, Dante I.
dc.contributor.authorGarcía García, Óscar
dc.contributor.authorAlonso Rincón, Ricardo Serafín 
dc.contributor.authorGuevara, Fabio
dc.contributor.authorCatalina Coello, Jorge
dc.contributor.authorBravo, Raúl A.
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-06T09:14:12Z
dc.date.available2017-09-06T09:14:12Z
dc.date.issued2012
dc.identifier.citationTrends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing. Volumen 157, pp. 29-37.
dc.identifier.isbn978-3-642-28794-7 (Print) / 978-3-642-28795-4 (Online)
dc.identifier.issn1867-5662 (Print) / 1867-5670 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134853
dc.description.abstractContext-aware technologies allow Ambient Assisted Living developments to automatically obtain information from users and their environment in a distributed and ubiquitous way. One of the most important technologies used to provide context-awareness is Wireless Sensor Networks (WSN). Wireless Sensor Networks comprise an ideal technology to develop Real-Time Locating Systems (RTLS) aimed at indoor environments, where existing global navigation satellite systems do not work correctly. In this regard, n-Core Polaris is an indoor and outdoor RTLS based on ZigBee WSNs and an innovative set of locating and automation engines. This paper presents the main components of the n-Core Polaris, as well as some experiments made in a real scenario whose results demonstrate the effectiveness of the system in indoor environments.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleEvaluating the n-Core Polaris Real-Time Locating System in an Indoor Environment
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
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