Centimeter Indoor Real-Time Location System
DOI: 10.14416/j.ind.tech.2022.12.003
Keywords:
Real Time, Location System, Centimeter, Location, Receive NodeAbstract
Centimeter-level real-time indoor location tracking system has been developed as a prototype of a real-time tracking system for indoor location tracking for tools, equipment, supplies, staff, and patients that have been taken outside the area or stolen with centimeter accuracy using the AOA (Angle of Arrival) and Bluetooth 5.1 technology. The system consists of part 1 hardware for use in the system and part 2 software system. The hardware part has a set of receivers (Receive Nodes) that must be installed to cover different areas or rooms in the building by considering the signal level to cover the searched area and the tags attached to the devices or the persons for transmitting the signal. The part of the software system consists of a section that displays a map (Map) for searching and a device management part (Administration). The results of the ten centimeter-scale real-time indoor location tracking systems tests were accurate to the centimeter scale and had an average deviation from the first test were approximately 67.1 centimeters and the second test were approximately 40.5 centimeters respectively, which were better than conventional Bluetooth signals with a deviation of 300-500 centimeters and is according to our research objectives.
References
https://www.bluetooth.com/bluetooth-resources/bluetooth-direction-finding/. (Accessed on 29 June 2021)
Y. Hou, X. Yang and Q. H. Abbasi, Efficient AOA-based wireless indoor localization for hospital outpatients using mobile devices, Sensors, 2018,18(11), 3698.
J. Hightower, G. Borriello and R. Want SpotON: An indoor 3D location sensing technology based on RF signal strength, UW CSE Technical Reports, 2000, 1-16.
X. Hou, T. Arslan, J. Gu, Indoor localization for bluetooth low energy using wavelet and smoothing filter, 2017 International Conference on Localization and GNSS (ICL-GNSS), Proceeding, 2017, 1-6.
X. Hou, T. Arslan, A. Juri and F. Wang, Indoor localization for bluetooth low energy devices using weighted off-set triangulation algorithm, The 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+2016), Proceeding, 2016, 2286-2292.
V. Almaula and D. Cheng, Bluetooth triangulator, University of California, USA.https://cseweb.ucsd.edu/classes/fa06/cse237a/finalproj/almula.pdf (Accessed on 15 December 2022)
B. Jachimczyk, D. Dziak and W.J. Kulesza, Using the fingerprinting method to customize RTLS based on the AOA ranging technique, Sensors 2016, 16, 876.
T. de Haan, BLE localization using switched-beam angle of arrival for pallet localization in warehouses, Thesis, University of Twente, Netherlands, 2018.
C. Yaqin, Evaluating off-the-shelf hardware for indoor positioning, Thesis, Lund University, Sweden, 2017.
M.N.K. Boulos and G. Berry, Real-time locating systems (RTLS) in healthcare: a condensed primer, International Journal of Health Geographics, 2012, 11, 25.
F. Halawa, H. Dauod, I.G. Lee, Y. Li, S.W. Yoon and S.H. Chung, Introduction of a real time location system to enhance the warehouse safety and operational efficiency, International Journal of Production Economics, 2020, 224, 107541.
B. Tatham, and T. Kunz, Anchor node placement for localization in wireless sensor networks, IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Proceeding, 2011, 180–187.
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ผลงานวิจัยและบทความวิชาการที่ปรากฏในวารสารนี้ เป็นความคิดเห็นอิสระของผู้เขียน ผู้เขียนจะต้องเป็นผู้รับผิดชอบต่อผลทางกฎหมายใด ๆ ที่อาจจะเกิดขึ้นจากบทความนั้น กองบรรณาธิการและคณะจัดทำวารสารฯไม่จำเป็นต้องเห็นด้วยเสมอไป