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.date.accessioned2019-08-26T16:43:48Z
dc.date.available2019-08-26T16:43:48Z
dc.date.issued2019
dc.descriptionIEEE Access Vol. 7, Nº 1, pp. 33713 - 33727, December, 2019pt
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
dc.formatapplication/pdf
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10437/9747
dc.language.isoengpt
dc.publisherIEEEpt
dc.relation.ispartofseries10.1109/ACCESS.2019.2904241pt
dc.rightsopenAccess
dc.subjectODOMETRYen
dc.subjectLOCATION ALGORITHMSen
dc.subjectCOOPERATIVE LOCALIZATIONen
dc.subjectANDROIDen
dc.subjectENGENHARIA ELETROTÉCNICApt
dc.subjectELECTROTECHNICAL ENGINEERINGen
dc.subjectSOFTWARE DE APLICAÇÕESpt
dc.subjectAPPLICATION SOFTWAREen
dc.subjectANDROIDpt
dc.subjectALGORITMOSpt
dc.subjectALGORITHMSen
dc.subjectODOMETRIApt
dc.subjectSMARTPHONESpt
dc.subjectSMARTPHONESen
dc.subjectALGORITMOS DE LOCALIZAÇÃOpt
dc.subjectLOCALIZAÇÃO COOPERATIVApt
dc.titleAlgorithms for Estimating the Location of Remote Nodes Using Smartphonesen
dc.typearticleen

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