Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62929
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dc.contributor.authorBasu, Debrajen
dc.contributor.authorHasan, Syed Farazen
dc.date.accessioned2024-09-18T05:09:39Z-
dc.date.available2024-09-18T05:09:39Z-
dc.date.issued2016-
dc.identifier.citationProceedings of the 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016, p. 493-496en
dc.identifier.isbn9781509040650en
dc.identifier.isbn9781509040667en
dc.identifier.urihttps://hdl.handle.net/1959.11/62929-
dc.description.abstract<p>Device-free Passive Localization (DfPL) is concerned with positioning objects that do not carry an active electronic device, and hence do not participate in the positioning process. A typical DfPL setup employs a set of Access Points (APs) and Monitoring Points (MPs) in order to passively trace objects. In this paper, we examine DfPL using 1 AP and 2 MPs to better understand its performance in typical indoor environments. This paper reports results from several experiments that are conducted in a commercial indoor setting. A few interesting considerations related to real world experimentation are also summarized towards the end of this paper.</p>en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.ispartofProceedings of the 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016en
dc.titleAssessing Device-Free Passive Localization with a Single Access Pointen
dc.typeConference Publicationen
dc.relation.conferenceDASC/PiCom/DataCom/CyberSciTech 2016: 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congressen
dc.identifier.doi10.1109/DASC-PICom-DataCom-CyberSciTec.2016.96en
local.contributor.firstnameDebrajen
local.contributor.firstnameSyed Farazen
local.profile.schoolResearch Servicesen
local.profile.emailshasan3@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference8th - 12th August, 2016en
local.conference.placeAuckland, New Zealanden
local.publisher.placeUnited States of Americaen
local.format.startpage493en
local.format.endpage496en
local.peerreviewedYesen
local.contributor.lastnameBasuen
local.contributor.lastnameHasanen
dc.identifier.staffune-id:shasan3en
local.profile.orcid0009-0006-5345-2790en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/62929en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAssessing Device-Free Passive Localization with a Single Access Pointen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsDASC/PiCom/DataCom/CyberSciTech 2016: 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress, Auckland, New Zealand, 8th - 12th August, 2016en
local.search.authorBasu, Debrajen
local.search.authorHasan, Syed Farazen
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2016en
local.year.presented2024en
local.subject.for20204006 Communications engineeringen
local.subject.seo2020tbden
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-09-20en
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