Algorithms for estimating the location of remote nodes using Smartphones

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dc.contributor.authorPedro, Dario
dc.contributor.authorTomic, Slavisa
dc.contributor.authorBernardo, Luís
dc.contributor.authorBeko, Marko
dc.contributor.authorOliveira, Rodolfo
dc.contributor.authorDinis, Rui
dc.contributor.authorPinto, Paulo
dc.contributor.authorAmaral, Pedro
dc.contributor.institutionCOPELABS - Cognitive and People-centric Computing
dc.date.issued2019
dc.descriptionIEEE Access Vol. 7, Nº 1, pp. 33713 - 33727, December, 2019
dc.description.abstractLocating the position of a remote node on a wireless network is becoming more relevant, as we move forward in the Internet of things and in autonomous vehicles. This paper proposes a new system to implement the location of remote nodes. A new prototype Android application has been developed to collect real measurements and to study the performance of several smartphone's sensors and location algorithms, including an innovative one, based on the second order cone programming (SOCP) relaxation. The application collects theWiFi access points information and the terminal location. An internal odometry module developed for the prototype is used when Android's service is unavailable. This paper compares the performance of existing location estimators given in closed form, an existing SOCP one, and the new SOCP location estimator proposed, which has reduced complexity. An algorithm to merge measurements from non-identical terminals is also proposed. Cooperative and terminal stand-alone operations are compared, showing a higher performance for SOCP-based ones, that are capable of estimating the path loss exponent and the transmission power. The heterogeneous terminals were also used in the tests. Our results show that the accurate positioning of static remote entities can be achieved using a single smartphone. On the other hand, the accurate real-time positioning of the mobile terminal is provided when three or more scattered terminal nodes cooperate sharing the samples taken synchronously.en
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dc.identifier.citationPedro, D, Tomic, S, Bernardo, L, Beko, M, Oliveira, R, Dinis, R, Pinto, P & Amaral, P 2019, 'Algorithms for estimating the location of remote nodes using Smartphones', IEEE Access, vol. 8, no. 2, 30. https://doi.org/10.1109/ACCESS.2019.2904241
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2904241
dc.identifier.issn2169-3536
dc.identifier.urlhttps://www.scopus.com/pages/publications/85063919779
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Access
dc.rightsopenAccess
dc.subjectENGENHARIA ELETROTÉCNICA
dc.subjectSOFTWARE DE APLICAÇÕES
dc.subjectANDROID
dc.subjectALGORITMOS
dc.subjectALGORITMOS DE LOCALIZAÇÃO
dc.subjectLOCALIZAÇÃO COOPERATIVA
dc.subjectODOMETRIA
dc.subjectSMARTPHONES
dc.subjectELECTROTECHNICAL ENGINEERING
dc.subjectAPPLICATION SOFTWARE
dc.subjectODOMETRY
dc.subjectLOCATION ALGORITHMS
dc.subjectCOOPERATIVE LOCALIZATION
dc.subjectANDROID
dc.subjectALGORITHMS
dc.subjectSMARTPHONES
dc.titleAlgorithms for estimating the location of remote nodes using Smartphonesen
dc.typearticle

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