| dc.contributor.author | Celik, Gurkan | |
| dc.contributor.author | Baimagambetova, Moldir | |
| dc.contributor.author | Abromavičius, Vytautas | |
| dc.date.accessioned | 2023-09-18T16:19:33Z | |
| dc.date.available | 2023-09-18T16:19:33Z | |
| dc.date.issued | 2022 | |
| dc.identifier.other | (SCOPUS_ID)85132191996 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113206 | |
| 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 are presented. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-4 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Conference Proceedings Citation Index - Science (Web of Science) | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | IEEE Xplore | |
| dc.rights | Laisvai prieinamas internete | |
| dc.source.uri | https://ieeexplore.ieee.org/document/9781754 | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:135818994/datastreams/MAIN/content | |
| dc.title | A review of fingerprinting techniques for smart cities | |
| dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
| dcterms.references | 17 | |
| dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
| dc.contributor.institution | Alanya Alaaddin Keykubat University | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
| dc.subject.studydirection | E09 - Elektronikos inžinerija / Electronic engineering | |
| dc.subject.studydirection | B04 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | fingerprinting | |
| dc.subject.en | indoor positioning methods | |
| dc.subject.en | internet of things | |
| dc.subject.en | smart city applications | |
| dcterms.sourcetitle | 2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 21 April 2022, Vilnius, Lithuania / organized by: Vilnius Gediminas Technical University | |
| dc.publisher.name | IEEE | |
| dc.publisher.city | Piscataway, NJ | |
| dc.identifier.doi | 2-s2.0-85132191996 | |
| dc.identifier.doi | 85132191996 | |
| dc.identifier.doi | 0 | |
| dc.identifier.doi | 137608474 | |
| dc.identifier.doi | 000848697000011 | |
| dc.identifier.doi | 10.1109/eStream56157.2022.9781754 | |
| dc.identifier.elaba | 135818994 | |
