Cited 4 time in
Application of Bluetooth Low Energy-Based Real-Time Location System for Indoor Environments
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Syafrudin, Muhammad | - |
| dc.contributor.author | Lee, Keeeun | - |
| dc.contributor.author | Alfian, Ganjar | - |
| dc.contributor.author | Lee, Jaeho | - |
| dc.contributor.author | Rhee, Jongtae | - |
| dc.date.accessioned | 2023-04-28T10:41:25Z | - |
| dc.date.available | 2023-04-28T10:41:25Z | - |
| dc.date.issued | 2018-10-24 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/10021 | - |
| dc.description.abstract | Current technology such as Bluetooth Low Energy (BLE) provides an efficient way for Real-Time Location System (RTLS). This study proposes a BLE-based Real-Time Location System that utilizes Smartphone and No SQL database as gateway and data storage respectively. Firstly, we develop a smartphone-based tracking app to gather the location of employees. Secondly, the generated sensor data from gateway is then stored into NoSQL MongoDB. The proposed system was tested for monitoring the movement of employees in the workplace. The results showed that commercial versions of the BLE-based device and the proposed system are sufficiently efficient for RTLS. Furthermore, proposed system is capable of processing a massive input/output of sensor data efficiently when the number of BLE-based devices and users increases. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | ASSOC COMPUTING MACHINERY | - |
| dc.title | Application of Bluetooth Low Energy-Based Real-Time Location System for Indoor Environments | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1145/3289430.3289470 | - |
| dc.identifier.scopusid | 2-s2.0-85059965719 | - |
| dc.identifier.wosid | 000455369000033 | - |
| dc.identifier.bibliographicCitation | BDIOT 2018: PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON BIG DATA AND INTERNET OF THINGS, pp 167 - 171 | - |
| dc.citation.title | BDIOT 2018: PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON BIG DATA AND INTERNET OF THINGS | - |
| dc.citation.startPage | 167 | - |
| dc.citation.endPage | 171 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
| dc.subject.keywordAuthor | IoT | - |
| dc.subject.keywordAuthor | RTLS | - |
| dc.subject.keywordAuthor | BLE | - |
| dc.subject.keywordAuthor | NoSQL | - |
| dc.subject.keywordAuthor | Indoor Environments | - |
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