Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박상수 | * |
dc.date.accessioned | 2016-11-18T02:11:50Z | - |
dc.date.available | 2016-11-18T02:11:50Z | - |
dc.date.issued | 2016 | * |
dc.identifier.issn | 1975-0080 | * |
dc.identifier.other | OAK-19465 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/232769 | - |
dc.description.abstract | Location Based Services (LBS) are software algorithm systems used by internet protocol capable wireless device technologies assist and/or replace Global Positioning System (GPS) with their task of acquiring and interpreting location describing data. LBS, and the data they provide, are increasingly being used by a growing number of users. As the demand for LBS grows, increasingly there is an additional requirement for more accurate indoor location position determination. Indoor localization algorithm has always been a challenge for location describing device manufacturers. This paper proposes a solution for improving accuracy while also decreasing computational requirements. Leveraging readily obtainable, cost-effective, Bluetooth Low Energy (BLE) Beacons, the research details a modified trilateration algorithm utilizing weighted nodes coupled with emitter/receiver distance measuring improvements accomplished using transmitter emission fingerprinting techniques. The proposed algorithm is evaluated through thorough experimentations that produce a reduction in difference between the real and measured location. The results found are solely obtained through algorithmic solutions utilizing standardized transmission protocols and readily available devices technologies. © 2016 SERSC. | * |
dc.language | English | * |
dc.publisher | Science and Engineering Research Support Society | * |
dc.subject | Fingerprinting | * |
dc.subject | iBeacon | * |
dc.subject | Indoor positioning system | * |
dc.subject | LBS | * |
dc.subject | Weighted-trilateration algorithm | * |
dc.title | Indoor positioning system based on an improved weighted-trilateration algorithm with fingerprinting technique | * |
dc.type | Article | * |
dc.relation.issue | 9 | * |
dc.relation.volume | 11 | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 165 | * |
dc.relation.lastpage | 176 | * |
dc.relation.journaltitle | International Journal of Multimedia and Ubiquitous Engineering | * |
dc.identifier.doi | 10.14257/ijmue.2016.11.9.18 | * |
dc.identifier.scopusid | 2-s2.0-84989315904 | * |
dc.author.google | Choi H. | * |
dc.author.google | Koo Y. | * |
dc.author.google | Lee S. | * |
dc.author.google | Park S. | * |
dc.contributor.scopusid | 박상수(39762312300) | * |
dc.date.modifydate | 20240322133703 | * |