The Performance of the Rss-Based Lateration Algorithm for Indoor Localization

dc.contributor.author Barodi, Lubana
dc.contributor.author Dağ, Tamer
dc.contributor.author Dağ, Tamer
dc.contributor.other Computer Engineering
dc.date.accessioned 2020-12-24T12:48:45Z
dc.date.available 2020-12-24T12:48:45Z
dc.date.issued 2019
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.description.abstract Localization methods have evolved over the years and led the invention of the Global Positioning System for outdoor localization. In time, the need for indoor localization has also arisen and research on indoor positioning systems has increased significantly. One of the most widely studied indoor localization algorithms is considered to be the Received Signal Strength-based lateration. The mentioned algorithm has a major advantage of being simple. In addition, it is low cost since it uses the existing infrastructure. In this paper, the performance of the RSS-based lateration is evaluated and compared for various scenarios through simulation studies. The accuracy of the algorithm is calculated when the path loss exponent value is known, when the path loss exponent value is estimated or when least-squares approximation is used. In addition, the impact of certain parameters such as the size of the area, the grid size or the noise level are investigated. en_US
dc.identifier.citationcount 2
dc.identifier.doi 10.1109/SIET48054.2019.8986149 en_US
dc.identifier.endpage 153 en_US
dc.identifier.isbn 978-172813878-7
dc.identifier.scopus 2-s2.0-85080118261 en_US
dc.identifier.startpage 148 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/3653
dc.identifier.uri https://doi.org/10.1109/SIET48054.2019.8986149
dc.identifier.volume 09/01/19 en_US
dc.identifier.wos WOS:000542995000028 en_US
dc.institutionauthor Daǧ, Tamer en_US
dc.institutionauthor Barodi, Lubana en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.journal Proceedings of 2019 4th International Conference on Sustainable Information Engineering and Technology, SIET 2019 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 3
dc.subject Indoor positioning systems en_US
dc.subject Least Squares Lateration en_US
dc.subject Path Loss Exponent en_US
dc.subject Received Signal strength en_US
dc.title The Performance of the Rss-Based Lateration Algorithm for Indoor Localization en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 2
dspace.entity.type Publication
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