skip to main content
10.1145/3289430.3289470acmotherconferencesArticle/Chapter ViewAbstractPublication PagesbdiotConference Proceedingsconference-collections
research-article

Application of Bluetooth Low Energy-Based Real-Time Location System for Indoor Environments

Published: 24 October 2018 Publication History

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 NoSQL 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.

References

[1]
Liao, J.-K., Chiang, K.-W., and Zhou, Z.-M. 2016. The Performance Analysis of Smartphone-Based Pedestrian Dead Reckoning and Wireless Locating Technology for Indoor Navigation Application. Inventions, 1, 25.
[2]
Wang, S.-S. 2018. A BLE-Based Pedestrian Navigation System for Car Searching in Indoor Parking Garages. Sensors, 18, 1442.
[3]
Filippoupolitis, A., Oliff, W., Takand, B., and Loukas, G. 2017. Location-Enhanced Activity Recognition in Indoor Environments Using Off the Shelf Smart Watch Technology and BLE Beacons. Sensors, 17, 1230.
[4]
Syafrudin, M., Alfian, G., Fitriyani, N.L., and Rhee, J. 2018. Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing. Sensors, 18, 2946.
[5]
Alfian, G., Syafrudin, M., Ijaz, M.F., Syaekhoni, M.A., Fitriyani, N.L., and Rhee, J. 2018. A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing. Sensors, 18, 2183.
[6]
RECO beacon. http://reco2.me/reco-beacon/
[7]
van der Veen, J.S., Waaij, B., and Meijer, R. J. 2012. Sensor data storage performance: SQL or NoSQL, Physical or Virtual. Proc. 5th IEEE Cloud, pp. 431--438.
[8]
Alfian, G., Syafrudin, M., and Rhee, J. 2017. Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain. Sustainability, 9, 2073.

Cited By

View all
  • (2024)Health 4.0 architecture proposal for planning and management of a hospital emergency departmentProcedia CIRP10.1016/j.procir.2024.08.353126(307-311)Online publication date: 2024
  • (2021)Two-Dimensional Cartesian Coordinate System Educational Toolkit: 2D-CACSETSensors10.3390/s2118630421:18(6304)Online publication date: 21-Sep-2021
  • (2019)RT-LoRa: A Medium Access Strategy to Support Real-Time Flows Over LoRa-Based Networks for Industrial IoT ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2019.29427766:6(10812-10823)Online publication date: Dec-2019
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things
October 2018
217 pages
ISBN:9781450365192
DOI:10.1145/3289430
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • Deakin University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2018

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. BLE
  2. Indoor Environments
  3. IoT
  4. NoSQL
  5. RTLS

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

BDIOT 2018

Acceptance Rates

Overall Acceptance Rate 75 of 136 submissions, 55%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)5
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Health 4.0 architecture proposal for planning and management of a hospital emergency departmentProcedia CIRP10.1016/j.procir.2024.08.353126(307-311)Online publication date: 2024
  • (2021)Two-Dimensional Cartesian Coordinate System Educational Toolkit: 2D-CACSETSensors10.3390/s2118630421:18(6304)Online publication date: 21-Sep-2021
  • (2019)RT-LoRa: A Medium Access Strategy to Support Real-Time Flows Over LoRa-Based Networks for Industrial IoT ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2019.29427766:6(10812-10823)Online publication date: Dec-2019
  • (2019)RETRACTED CHAPTER: A Survey on Software-Defined Networks and Edge Computing over IoTHighlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection10.1007/978-3-030-24299-2_25(289-301)Online publication date: 2019

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media