Connectivity-Based Self-Localization in WSNs

dc.contributor.authorKenyeres, Jozef
dc.contributor.authorKenyeres, Martin
dc.contributor.authorRupp, Markus
dc.contributor.authorFarkas, Peter
dc.coverage.issue3cs
dc.coverage.volume22cs
dc.date.accessioned2015-01-21T11:47:02Z
dc.date.available2015-01-21T11:47:02Z
dc.date.issued2013-09cs
dc.description.abstractEfficient localization methods are among the major challenges in wireless sensor networks today. In this paper, we present our so-called connectivity based approach i.e, based on local connectivity information, to tackle this problem. At first the method fragments the network into larger groups labeled as packs. Based on the mutual connectivity relations with their surrounding packs, we identify border nodes as well as the central node. As this first approach requires some a-priori knowledge on the network topology, we also present a novel segment-based fragmentation method to estimate the central pack of the network as well as detecting so-called corner packs without any a-priori knowledge. Based on these detected points, the network is fragmented into a set of even larger elements, so-called segments built on top of the packs, supporting even more localization information as they all reach the central node.en
dc.formattextcs
dc.format.extent818-827cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2013, vol. 22, č. 3, s. 818-827. issn 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/36932
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2013/13_03_0818_0827.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectWSNen
dc.subjectdistributed algorithmsen
dc.subjectborder nodesen
dc.subjectvirtual coordinatesen
dc.titleConnectivity-Based Self-Localization in WSNsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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