Detailed Information
Cited 0 time in 
Cited 2 time in 
Cited 2 time in
Metadata Downloads
Iot-aided indoor positioning based on fingerprinting
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sinha, R.S. | - |
| dc.contributor.author | Chen, J. | - |
| dc.contributor.author | Hwang, S.-H. | - |
| dc.date.accessioned | 2024-08-08T01:31:38Z | - |
| dc.date.available | 2024-08-08T01:31:38Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.issn | 0973-4562 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/15437 | - |
| dc.description.abstract | With the increasing demand of localization, WiFi fingerprint-based indoor positioning has great attraction because of its effective cost and easy deployment. Additionally, internet of thing (IoT) is considered as one of 5G services in the 4th industrial revolution era. In this paper, we develop IoT-aided fingerprint localization system. Furthermore, two kinds of algorithms are introduced based on K-nearest neighbor (KNN) and those performances are validated through the experiments. The numerical results show both schemes outperform the existing KNN approach. © Research India Publications. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Research India Publications | - |
| dc.title | Iot-aided indoor positioning based on fingerprinting | - |
| dc.type | Article | - |
| dc.publisher.location | 인도 | - |
| dc.identifier.scopusid | 2-s2.0-85057648378 | - |
| dc.identifier.bibliographicCitation | International Journal of Applied Engineering Research, v.12, no.24, pp 15772 - 15776 | - |
| dc.citation.title | International Journal of Applied Engineering Research | - |
| dc.citation.volume | 12 | - |
| dc.citation.number | 24 | - |
| dc.citation.startPage | 15772 | - |
| dc.citation.endPage | 15776 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordAuthor | Fingerprint | - |
| dc.subject.keywordAuthor | Indoor localization | - |
| dc.subject.keywordAuthor | IoT | - |
| dc.subject.keywordAuthor | KNN | - |
| dc.subject.keywordAuthor | RSSI | - |
| dc.subject.keywordAuthor | WiFi | - |
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Hwang, Seung Hoon
- College of Engineering (Department of Electronics and Electrical Engineering)