Optimizing the placement of BLE transmitters for Indoor Positioning Systems

• Autorzy: Pilski Marek , Aleksandrowicz Mateusz

Identyfikatory

DOI

10.34739/si.2022.27.05

• Języki publikacji: EN

Abstrakty

EN

The article presents the results of experimental research related to the optimization of the placement of BLE transmitters (beacons) inside rooms in order to locate the user. The experiments were carried out to check how far BLE transmitters can be moved away from each other so that the average localization error was at a level acceptable to the user. The value of the localization error was assumed based on the literature (less than 1 m). As a result of the conducted experiments, a mathematical formula was defined to calculate the required number of BLE transmitters for the exact location inside the rooms. The experiments used BLE transmitters, rooms inside the building of Siedlce University of Natural Sciences and Humanities and a mobile application with a database. In the study of the optimization of the placement of beacons, the fingerprint technique was used.

Słowa kluczowe

EN

Indoor Positioning Systems; optimization; bluetooth transmitter; BLE; fingerprint

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2022
• Tom: Vol. 2(27)
• Strony: 95--107
• Opis fizyczny: Bibliogr. 16 poz., fot., rys., wykr.

Twórcy

autor

Pilski Marek

• Siedlce University of Natural Sciences and Humanities Faculty of Exact and Natural Sciences Institute of Computer Science ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0000-0003-2362-0416

autor

Aleksandrowicz Mateusz

• Studentat University of Natural Sciences and Humanities Faculty of Exact and Natural Sciences Institute of Computer Science ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0000-0002-8533-6237

Bibliografia

• 1. Aleksandrowicz M..Optimizing the placement of Bluetooth transmitters inside buildings for the purpose of user positioning. Master thesis. Siedlce University of Natural Sciences and Humanities, 2022.
• 2. Altini M., Brunelli D., Farella E., Benini L. Bluetooth indoor localization with multiple neural networks. IEEE 5th International Symposium on Wireless Pervasive Computing 2010, pp. 295-300, 2010.
• 3. Android Beacon Library. An Android library providing APIs to interact with Beacons. Distance estimates vs. Time. Available online: https://altbeacon.github.io/android-beacon-library/distance_vs_time.html, [last access: 19.09.2022], 2021.
• 4. Android Beacon Library. An Android library providing APIs to interact with Beacons. What Does This Library Do? Available online: https://altbeacon.github.io/android-beacon-library/, [last access: 19.09.2022], 2021.
• 5. Bekkelien A. Bluetooth Indoor Positioning. Available online: http://cui.unige.ch/~deriazm/masters/bekkelien/Bekkelien_Master_Thesis.pdf, [last access: 19.09.2022], 2012.
• 6. Brena R. F., García-Vázquez J. P., Galván-Tejada C. E., Muñoz-Rodriguez D., Vargas-Rosales C., Fangmeyer J. Evolution of Indoor Positioning Technologies: A Survey. Journal of Sensors, vol 6, March 2017.
• 7. Golan M. Czym są beacony i jak działają? (eng. What are beacons and how do they work?). Akanza, Avaliable online: https://akanza.pl/czym-sa-beacony-i-jak-dzalaja, [last access: 19.09.2022], 2020.
• 8. Grzechca D. E., Pelczar P., Chruszczyk L. Analysis of Object Location Accuracy for iBeacon Technology based on the RSSI Path Loss Model and Fingerprint Map. International Journal of Electronics and Telecommunications, No 62, November 2016.
• 9. Li M., Zhao L., Tan D., Tong X.. BLE Fingerprint Indoor Localization Algorithm Based on Eight-Neighborhood Template Matching. Sensors, No 19(22):4859, November 2019.
• 10. Magdy I., Osama M. Enhanced localization for indoor construction. Procedia Engineering, No 123, pp. 241-249, December 2015.
• 11. Mikulowski D., Niewiadomski A., Salamonczyk A., Pilski M., Switalski P., Terlikowski G. Supporting Independent Navigation Of Disabled Students In University Campus Using Beacons And Ontology Map. EdMedia + Innovate Learning, Association for the Advancement of Computing in Education (AACE), New York City, pp. 1005-1010, 2022.
• 12. Pilski M. Technologies supporting independent moving inside buildings for people with visual impairment. Vol. 24 No. 1-2: Studia Informatica. Systems and Information Technology. 2020.
• 13. Shuai H., Kun Z., Zhengqi Z., Wenqing J., Tianyi L., Xiaofei L. An Optimized Fingerprinting-Based Indoor Positioning with Kalman Filter and Universal Kriging for 5G Internet of Things. Wireless Communications and Mobile Computing, Volume 2021, 10 pages, 2021.
• 14. Subakti J.-R., Liang H.-S. Fingerprint Feature Extraction for Indoor Localization. Communication and Engineering (ECICE 2020), p. 239–242, pp. 23-25, 2020.
• 15. Subedi S., Pyun J.-Y. Practical Fingerprinting Localization for Indoor Positioning System by Using Beacons. Journal of Sensors, vol 3, pp. 1-16, December 2017.
• 16. Wieczorek A. Bluetooth – Jak to działa Co to jest? Jakie są wersje? (eng. Bluetooth - How It Works What is it? What are the versions?), Botland, Available online: https://botland.com.pl/blog/bluetooth-jak-to-dziala/, [last access: 19.09.2022], 2020.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).