Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

MyLib : Smart Library Indoor Navigation Using Bluetooth Low Energy with Triangulation Method

Treść / Zawartość
Warianty tytułu
Języki publikacji
This paper proposes an android-based application to help the users to navigate in finding books in the library easily and interactively. This navigation application is connected to a Bluetooth Low Energy (BLE) device that will emit an RSSI signal received by the Smartphone user and show the desired distance to the bookshelf position. The method of triangulation and mean filter were used to eliminate noise in the test environment to make the position of the bookshelf can be found precisely based on the RSSI BLE Beacon value. The test results showed the largest RSSI value for LOS conditions at -48dBm and NLOS at -63 dBm; while the lowest RRSI values for LOS conditions was at -84dBm and NLOS was at -96dBm.
Słowa kluczowe
Opis fizyczny
Bibliogr. 27 poz., rys., tab., wykr.
  • School of Applied Science, Telkom University, Indonesia
  • School of Applied Science, Telkom University, Indonesia
  • School of Applied Science, Telkom University, Indonesia
  • [1] A. K. Mikhaylov, N. Plevritakis, and J. Tervonen, “Performance analysis and comparison of bluetooth low energy with IEEE 802.15.4 and SimpliciTI,” J. Sens. Actuator Networks, vol. 2, no. 3, pp. 589–613, 2013.
  • [2] J. Tosi, F. Taffoni, M. Santacatterina, R. Sannino, and D. Formica, “Performance evaluation of bluetooth low energy: A systematic review,” Sensors (Switzerland), vol. 17, no. 12, pp. 1–34, 2017.
  • [3] P. Bulić, G. Kojek, and A. Biasizzo, “Data transmission efficiency in bluetooth low energy versions,” Sensors (Switzerland), vol. 19, no. 17, 2019.
  • [4] P. Baronti, P. Barsocchi, S. Chessa, F. Mavilia, and F. Palumbo, “Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction,” 2018.
  • [5] A. Baniukevic, C. S. Jensen, and H. Lu, “Hybrid Indoor Positioning With Wi-Fi and Bluetooth: Architecture and Performance,” 2013.
  • [6] A. Ghofrani, R. M. Toroghi, and S. M. Tabatabaie, “ICPS-net : An End-to-End RGB-based Indoor Camera Positioning System using deep convolutional neural networks,”
  • [7] T. T. Khanh, V. Nguyen, X. Q. Pham, and E. N. Huh, “Wi ‑ Fi indoor positioning and navigation: a cloudlet ‑ based cloud computing approach,” Human-centric Comput. Inf. Sci., 2020.
  • [8] S. Ezpeleta, “Analysis of RF-based Indoor Localization with Multiple Channels and Signal Strengths Analysis of RF-based Indoor Localization with Multiple Channels and Signal,” no. November, 2014.
  • [9] L. U. Bai, F. Ciravegna, R. Bond, M. Mulvenna, and S. Member, “A Low Cost Indoor Positioning System Using Bluetooth Low Energy,” vol. 8, 2020.
  • [10] I. I. S. Museum, P. Spachos, S. Member, and K. N. Plataniotis, “BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum,” pp. 1–11.
  • [11] B. Kim, M. Kwak, J. Lee, and T. . Kwon, “A Multippronged Approach for Indoor Positioning With WiFi, Magnetic and Cellular signals,” in 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014, vol. 015, pp. 27–30.
  • [12] H.-K. Su, Z.-X. Liao, and C.-H. Lin, “A hybrid indoor-position mechanism based on bluetooth and WiFi communications for smart mobile devices,” in 2015 International Symposium on Bioelectronics and Bioinformatics (ISBB), 2015, pp. 188–191.
  • [13] X. Yang, M. Deng, and T. Jiang, “Indoor Positioning System Based on INS / WiFi Propagation Model,” in 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS), 2017, no. 1, pp. 3478–3480.
  • [14] H. Cui and K. Liu, “Indoor Positioning and Fingerprint Updating Based on Affinity Propagation Clustering,” 2018 Eighth Int. Conf. Instrum. Meas. Comput. Commun. Control, pp. 226–230, 2018.
  • [15] A. A. Kalbandhe and S. C. Patil, “Indoor Positioning System using Bluetooth Low Energy,” in 2016 International Conference on Computing, Analytics and Security Trends (CAST), 2016, pp. 451–455.
  • [16] D. A. Garcette, C. Villalba, J. L. Vazquez Noguera, “Centralized indoor positioning system using bluetooth low energy,” in 2018 XLIV Latin American Computer Conference (CLEI), 2018, pp. 860–869.
  • [17] E. Essa, B. A. Abdullah, and A. Wahba, “Improve Performance of Indoor Positioning System using BLE,” in 2019 14th International Conference on Computer Engineering and Systems (ICCES), 2019, pp. 234–237.
  • [18] T. T. Dinh, N. Duong, and K. Sandrasegaran, “Smartphone-based Indoor Positioning Using BLE iBeacon and Reliable Lightweight,” vol. 20, no. 17, pp. 10283–10294, 2020.
  • [19] C. Uttraphan, F. A. Aziz, M. Helmy, A. Wahab, and S. Z. Syed, “Bluetooth Based Indoor Navigation System,” in International Conference on Technology, Engineering and Sciences (ICTES), 2020, pp. 1–10.
  • [20] C. J. Oh, E. K. Jwa, and J. W. Jwa, “Development of Smart Tourism app Using Bluetooth Low Energy Beacons,” no. 6, pp. 1276–1280, 2019.
  • [21] N. Malipatil, V. Roopashree, R. H. S. Gowda, M. R. Shobha, and H. C. S. Kumar, “RFID Based Library Management System,” Int. J. Res. Eng. Sci. Manag., vol. 3, no. 7, pp. 112–115, 2020.
  • [22] D. Bagal and P. Saindane, “Librany - A Face Recognition and QR Code Technology based Smart Library System,” in Proceedings of the Fourth International Conference on Communication and Electronics Systems (ICCES 2019), 2019, no. Icces, pp. 253–258.
  • [23] C. Gomez, J. Oller, and J. Paradells, “Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology,” Sensors, vol. 12, no. 9, pp. 11734–11753, 2012.
  • [24] M. Collotta and G. Pau, “A solution based on bluetooth low energy for smart home energy management,” Energies, vol. 8, no. 10, pp. 11916–11938, 2015.
  • [25] J. Huh and K. Seo, “An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems,” Sensors, vol. 17, no. 12, pp. 4–22, 2017.
  • [26] N. Pakanon, M. Chamchoy, and P. Supanakoon, “Study on Accuracy of Trilateration Method for Indoor Positioning with BLE Beacons,” in 2020 6th International Conference on Engineering, Applied Sciences and Technology (ICEAST), 2020, pp. 1–4.
  • [27] S. Chou et al., “Application of Bluetooth low energy indoor positioning to optical lenses manufacturing factory,” in 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2018, pp. 1–6.
1. 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).
2. This work is supported by the grant No KWR.0015/LIT2/LIT/2020, received by School of Applied Science, Telkom University, Indonesia.
Typ dokumentu
Identyfikator YADDA
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.