Research of accuracy of RSSI fingerprint-based indoor positioning BLE system

• Autorzy: Wysocki Michał , Nicpoń Robert , Trzaska Marta , Czapiewska Agnieszka

Identyfikatory

DOI

10.15199/48.2022.09.17

Warianty tytułu

PL

Badanie dokładności lokalizowania w środowisku wewnątrzbudynkowym z wykorzystaniem technologii BLE i metody RSSI-fingerprinting

• Języki publikacji: EN

Abstrakty

EN

Radio localization in indoor environment is still a challenging task due to environment volatility. In the paper are compared achieved localization accuracies for RSSI-Fingerprinting method utilizing Bluetooth Low Energy (BLE) for two different environments: large empty hall and narrow corridor. Measurements were done by 6 different smartphones of 3 different producers, which makes those measurements unique as accuracies achieved by different devices can be compared.

PL

Lokalizacja radiowa w środowisku wewnętrznym jest nadal trudnym zadaniem ze względu na zmienność środowiska. W artykule porównano uzyskane dokładności lokalizacji dla metody RSSI-Fingerprinting z wykorzystaniem technologii Bluetooth Low Energy (BLE) dla dwóch różnych środowisk: dużego pustego holu i wąskiego korytarza. Pomiary zostały wykonane przez 6 różnych smartfonów 3 różnych producentów, co czyni te pomiary wyjątkowymi, ponieważ można porównywać dokładności uzyskiwane przez różne urządzenia.

Słowa kluczowe

EN

radiolocalization; Bluetooth Low Energy; BLE; fingerprinting; indoor positioning system; IPS

PL

radiolokalizacja; bluetooth; IPS

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 9
• Strony: 86--89
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Wysocki Michał

• Politechnika Gdańska, Wydział Elektroniki, Telekomunikacji i Informatyki, ul. Narutowicza 11/12, 80-233 Gdańsk

• https://orcid.org/0000-0002-1322-2679

autor

Nicpoń Robert

• Politechnika Gdańska, Wydział Elektroniki, Telekomunikacji i Informatyki, ul. Narutowicza 11/12, 80-233 Gdańsk

autor

Trzaska Marta

• Politechnika Gdańska, Wydział Elektroniki, Telekomunikacji i Informatyki, ul. Narutowicza 11/12, 80-233 Gdańsk

autor

Czapiewska Agnieszka

• Politechnika Gdańska, Wydział Elektroniki, Telekomunikacji i Informatyki, ul. Narutowicza 11/12, 80-233 Gdańsk

Bibliografia

• [1] Kirimtat A., Krejcar O.; Kertesz A., Tasgetiren M. F., Future Trends and Current State of Smart City Concepts: A Survey, IEEE Access, vol. 8 (2020), pp. 86448-86467
• [2] Okai E., Feng X., Sant P., Smart Cities Survey. In Proceedings of the 2018 IEEE 20th International Conference on High Performance Computing and Communications, IEEE 16th International Conference on Smart City, IEEE 4th International Conference on Data Science and Systems, 2018, pp. 1726-1730
• [3] Weinberger N. et al., Public Participation in the Development Process of a Mobility Assistance System for Visually Impaired Pedestrians, Societies, 2019, vol. 9, no. 32
• [4] Papadopoulos K. et al., Environmental Information Required by Individuals with Visual Impairments Who Use Orientation and Mobility Aids to Navigate Campuses, Journal of Visual Impairment & Blindness, 2020, vol. 114, no. 4, pp. 263–276
• [5] United Stated News, “68% of the world population projected to live in urban areas by 2050, says UN”, May, 16, 2018, New York. Available online URL: https://www.un.org/development/ desa/en/news/population/2018-revision-of-world-urbanization-prospects.html. (accessed on: Nov, 21, 2021)
• [6] Hoornweg D., Pope K., Population predictions for the world’s largest cities in the 21st century, Environment and Urbanization, 2016, vol. 29
• [7] Ko E., Kim EY, A Vision-Based Wayfinding System for Visually Impaired People Using Situation Awareness and Activity-Based Instructions, Sensors, 2017, vol. 17, no. 8
• [8] Mahida P., Shahrestani S., Cheung H., Deep Learning-Based Positioning of Visually Impaired People in Indoor Environments.Sensors, 2020, vol. 20, no. 21
• [9] Rajchowski P., Stefanski J., Sadowski J., Cwalina K. K., Person Tracking in Ultra-Wide Band Hybrid Localization System Using Reduced Number of Reference Nodes, Sensors, 20 (2020)
• [10] Narupiyakul L., Sanghlao S., Yimwadsana B., An Indoor Navigation System for the Visually Impaired Based on RSS Lateration and RF Fingerprint, Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living, Springer National Publishing, 2018
• [11] Nagarajan B. et al., Localization and Indoor Navigation for Visually Impaired Using Bluetooth Low Energy, Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, Springer, 2020
• [12] Aziz M. I., Owens T., uz Zaman U. K., RSSI Based Localization of Bluetooth Devices Using Trilateration: An Improved Method for the Visually Impaired, Proceedings of the 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2018, pp. 1-5
• [13] Ji M., Kim J., Jeon J., Cho Y., Analysis of positioning accuracy corresponding to the number of BLE beacons in indoor positioning system, Proceedings of the 17th International Conference on Advanced Communication Technology(ICACT), 2015, pp. 92-95
• [14] Jeon K. E., She J., Soonsawad P., Ng P. C., BLE Beacons for Internet of Things Applications: Survey, Challenges, and Opportunities. IEEE Internet of Things Journal, 2018, vol. 5, no. 2, pp. 811-828
• [15] Basiri A. et al., Indoor location based services challenges, requirements and usability of current solutions, Computer Science Review, 2017, vol. 24
• [16] Mouhammad C. S. et al., BLE Indoor Localization based on Improved RSSI and Trilateration, Proceedings of the 7th Interna-tional Japan-Africa Conference on Electronics, Communications, and Computations, 2019, pp. 17-21
• [17] Subedi S., Pyun J-Y., Practical Fingerprinting Localization for Indoor Positioning System by Using Beacons, Journal of Sensors, 2017, vol. 2017, pp. 1-16
• [18] Thenuardi D. S., Soewito B., Indoor Positioning System using WKNN and LSTM Combined via Ensemble Learning, ASTESJ, 2021, vol. 6, no. 1, pp. 242-249

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).