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dc.creatorMontanha, Aleksandroes
dc.creatorPolidorio, Airton M.es
dc.creatorRomero Ternero, María del Carmenes
dc.date.accessioned2021-07-05T08:42:52Z
dc.date.available2021-07-05T08:42:52Z
dc.date.issued2021
dc.identifier.citationMontanha, A., Polidorio, A.M. y Romero Ternero, M.d.C. (2021). New signal location method based on signal-range data for proximity tracing tools. Journal of Network and Computer Applications, 180 (April 2021), 103006/1-103006/13.
dc.identifier.issn1084-8045es
dc.identifier.urihttps://hdl.handle.net/11441/115109
dc.description.abstractSeveral technological solutions have emerged over the last several months to support proximity contact tracing to fight the COVID-19 pandemic. For this reason, today more than ever, accurate signal location is needed, even in indoor public areas (supermarkets, public transport, etc.). In a previous work, we proposed five methods to solve the problem of signal localization using elements of pole-polar geometry. The proposals were innovative, since they solved a geometric problem (locating a point in a coordinate system) only by applying concepts of geometry. Among these developed methods, the PPC (Pole-Polar Centroid model) was also presented. Although the PPC solves the problem of locating a device with better precision than conventional methods (based on numerical or optimization methods), its accuracy was found to be the worst among the five proposed geometric methods. In this context, this work proposes an extension to our PPC method, called the weighted Pole-Polar Centroid method (wPPC), which improves the accuracy of the previous PPC results. Such an extension does not change the complexity O(m2) or the minimum dimensionality (m = 2) of nodes, which integrate a location network to perform the triangulation of such signals. Moreover, this extension estimates a device’s location coordinates by means of the interaction, via signals, of this device with the network nodes distributed in any coordinate system. An IEEE 802.11 network infrastructure is used to accomplish the experiments. Errors in signal data are common, and our new proposed method, the wPPC, can mitigate the influence of these errors, produce more accurate results than the PPC, and outperform some of the other four proposed geometric methods and current numeric methods. Despite the use of an IEEE 802.11 network infrastructure for testing here, this range-based method for signal triangulation can be applied to any signal type (such as Wi-Fi, Bluetooth, and light and sound propagation).es
dc.formatapplication/pdfes
dc.format.extent13es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofJournal of Network and Computer Applications, 180 (April 2021), 103006/1-103006/13.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject2D signal locationes
dc.subjectWireless networkes
dc.subjectMethodes
dc.subjectSignal processinges
dc.subjectComputational geometryes
dc.subjectPole-polar geometryes
dc.subjectIEEE 802.11es
dc.subjectContact tracinges
dc.titleNew signal location method based on signal-range data for proximity tracing toolses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1084804521000333es
dc.identifier.doi10.1016/j.jnca.2021.103006es
dc.journaltitleJournal of Network and Computer Applicationses
dc.publication.volumen180es
dc.publication.issueApril 2021es
dc.publication.initialPage103006/1es
dc.publication.endPage103006/13es

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