A Review of Fingerprinting Techniques for Smart Cities
| dc.authorid | 0000-0003-1588-6572 | |
| dc.authorid | 0000-0002-1826-4528 | |
| dc.contributor.author | Celik, Gurkan | |
| dc.contributor.author | Baimagambetova, Moldir | |
| dc.contributor.author | Abromavicius, Vytautas | |
| dc.date.accessioned | 2026-01-24T12:29:00Z | |
| dc.date.available | 2026-01-24T12:29:00Z | |
| dc.date.issued | 2022 | |
| dc.department | Alanya Alaaddin Keykubat Üniversitesi | |
| dc.description | 9th IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) -- APR 21, 2022 -- Vilnius Gediminas Tech Univ, Vilnius, LITHUANIA | |
| dc.description.abstract | This paper introduces a review on most common fingerprinting techniques for indoor localization systems, and is aimed at the researchers who want to understand all the aspects and start working in the area of fingerprinting in smart city applications. In the paper advantages and disadvantages of each technique are discussed. Additionally, fingerprinting techniques are compared in their relationship relating cost, accuracy, distance and complexity. And, current state of art approaches for each indoor fingerprinting technique arc presented. | |
| dc.description.sponsorship | TUBITAK [2210806] | |
| dc.description.sponsorship | This study is supported by TUBITAK 1512 project no 2210806. | |
| dc.description.sponsorship | IEEE,IEEE Lithuania Sect,IEEE Lithuania Joint SP CIS COM Chapter,IEEE Lithuania Joint AP ED MTT Chapter,IEEE Lithuania Comp Chapter,IEEE Lithuania Educat Chapter | |
| dc.identifier.doi | 10.1109/ESTREAM56157.2022.9781754 | |
| dc.identifier.isbn | 978-1-6654-5048-5 | |
| dc.identifier.scopus | 2-s2.0-85132191996 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/ESTREAM56157.2022.9781754 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12868/5066 | |
| dc.identifier.wos | WOS:000848697000011 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2022 Ieee Open Conference of Electrical, Electronic and Information Sciences (Estream) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260121 | |
| dc.subject | indoor positioning methods | |
| dc.subject | fingerprinting | |
| dc.subject | smart city applications | |
| dc.subject | internet of things | |
| dc.title | A Review of Fingerprinting Techniques for Smart Cities | |
| dc.type | Conference Object |












