Transmitter Source Location Estimation Using Crowd Data

dc.contributor.author Öğrenci, Arif Selçuk
dc.contributor.author Arsan, Taner
dc.contributor.author Arsan, Taner
dc.contributor.other Computer Engineering
dc.date.accessioned 2019-06-27T08:06:44Z
dc.date.available 2019-06-27T08:06:44Z
dc.date.issued 2018
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.description.abstract The problem of transmitter source localization in a dense urban area has been investigated where a supervised learning approach utilizing neural networks has been adopted. The cellular phone network cells and signals have been used as the test bed where data are collected by means of a smart phone. Location and signal strength data are obtained by random navigation and this information is used to develop a learning system for cells with known base station location. The model is applied to data collected in other cells to predict their base station locations. Results are consistent and indicating a potential for effective use of this methodology. The performance increases by increasing the training set size. Several shortcomings and future research topics are discussed. (C) 2017 Elsevier Ltd. All rights reserved. en_US]
dc.identifier.citationcount 2
dc.identifier.doi 10.1016/j.compeleceng.2017.09.026 en_US
dc.identifier.endpage 138
dc.identifier.issn 0045-7906 en_US
dc.identifier.issn 1879-0755 en_US
dc.identifier.issn 0045-7906
dc.identifier.issn 1879-0755
dc.identifier.scopus 2-s2.0-85030236432 en_US
dc.identifier.scopusquality Q1
dc.identifier.startpage 127 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1225
dc.identifier.uri https://doi.org/10.1016/j.compeleceng.2017.09.026
dc.identifier.volume 66 en_US
dc.identifier.wos WOS:000429760300011 en_US
dc.identifier.wosquality Q2
dc.institutionauthor Öğrenci, Arif Selçuk en_US
dc.institutionauthor Arsan, Taner en_US
dc.language.iso en en_US
dc.publisher Pergamon-Elsevier Science Ltd en_US
dc.relation.journal Computers & Electrical Engineering en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 3
dc.subject Source localization en_US
dc.subject Neural networks en_US
dc.subject Learning en_US
dc.subject Received signal strength en_US
dc.subject Nonlinear regression en_US
dc.title Transmitter Source Location Estimation Using Crowd Data en_US
dc.type Article en_US
dc.wos.citedbyCount 2
dspace.entity.type Publication
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