Development of an Indoor Positioning Platform for Mobile Devices Based on BLE and WkNN Method 


Vol. 47,  No. 9, pp. 1406-1419, Sep.  2022
10.7840/kics.2022.47.9.1406


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  Abstract

Recently, indoor/outdoor positioning techniques using various wireless communication methods have been applied for the smooth provision of user Device-based LBS. In the case of outdoor positioning, GPS signal is received and positioning is performed smoothly, but in the case of indoor positioning, there is a problem that the GPS signal is not received normally, so alternative techniques using various wireless signals such as WiFi and Bluetooth are actively studied. In this paper, a smart-helmet equipped with a BLE beacon and a real-time positioning PC program were implemented. The RSS measured when the smart helmet is moved was compared with the standard RSS of the fingerprint map Sample Point in the cosine similarity comparison method, triangulation method, kNN and WkNN methods. In this paper, both the kNN and WkNN methods output the corresponding smart helmet position coordinates based on the measured RSS, and the average Euclidean distance difference between the positioning coordinates and the actual position coordinates is further compared and analyzed with cosine similarity and triangulation. As a result of the experiment, the WkNN-based positioning technique showed the best positioning performance in the test bed environment. The WkNN-based positioning technique showed improved positioning performance by about 20% compared to the kNN-based positioning technique, by about 34% compared to the triangulation technique, and by about 41% compared to the cosine similarity comparison method. Through this, it was confirmed that the WkNN technique is a relatively accurate indoor positioning techniques in a beacon terminal mobile environment.

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[IEEE Style]

R. H. Kim, S. H. Oh, J. G. Kim, "Development of an Indoor Positioning Platform for Mobile Devices Based on BLE and WkNN Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 9, pp. 1406-1419, 2022. DOI: 10.7840/kics.2022.47.9.1406.

[ACM Style]

Rae Hyeon Kim, Sung Hyun Oh, and Jeong Gon Kim. 2022. Development of an Indoor Positioning Platform for Mobile Devices Based on BLE and WkNN Method. The Journal of Korean Institute of Communications and Information Sciences, 47, 9, (2022), 1406-1419. DOI: 10.7840/kics.2022.47.9.1406.

[KICS Style]

Rae Hyeon Kim, Sung Hyun Oh, Jeong Gon Kim, "Development of an Indoor Positioning Platform for Mobile Devices Based on BLE and WkNN Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 9, pp. 1406-1419, 9. 2022. (https://doi.org/10.7840/kics.2022.47.9.1406)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880