Practical Considerations For RSS RF Fingerprinting Based Indoor Localization Systems
| dc.contributor.author | Bacak, Ahmet | |
| dc.contributor.author | Çelebi, Hasari | |
| dc.date.accessioned | 2025-10-29T11:36:38Z | |
| dc.date.issued | 2014 | |
| dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | |
| dc.description | 22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY | |
| dc.description.abstract | There are different location estimation approaches in order to determine the position of a mobile users precisely in indoor environments. In this study, in order to determine the position of the mobile user at the shopping malls received signal strength (RSS) RF fingerprint based approaches is considered. Wi-Fi and GSM RSS data has been collected by using LG Nexus 4 cell phone at Gebze Center shopping mall in Gebze, Kocaeli. By using the collected data, the effects of different machine learning algorithms, number of training data, number of measurement grid, and signal type on the performance of the localization systems are studied. According to the results, it is observed that, combining Wi-Fi and GSM RSS data measurements decreases the location estimation error. | |
| dc.description.sponsorship | IEEE,Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engn | |
| dc.identifier.endpage | 500 | |
| dc.identifier.isbn | 978-1-4799-4874-1 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.startpage | 497 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14854/13371 | |
| dc.identifier.wos | WOS:000356351400103 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.language.iso | tr | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2014 22nd Signal Processing and Communications Applications Conference (Siu) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WOS_20251020 | |
| dc.subject | the estimation of mobile user | |
| dc.subject | indoor localization | |
| dc.subject | rf fingerprinting | |
| dc.title | Practical Considerations For RSS RF Fingerprinting Based Indoor Localization Systems | |
| dc.type | Conference Object |
