Loading...
Wi-Fi Received Signal Strength-based Indoor Localization System Using K-Nearest Neighbors fingerprint integrated D∗algorithm
Author(s)
Jarawan, Tanatthep
Manuthasna, Shariff
Hematulin, Warunyu
Chooraks, Tachodom
Phisannupawong, Thaweerath
Sangkarak, Sitthirak
Mungkhud, Sookaseam
Somjit, Thanaporn
Date Issued
January 1, 2022
Type
Conference Paper
Abstract
The indoor localization system is essential since the Global Positioning System cannot give an accurate position indoors, especially when several floor plans are considered. WiFi received signal strength becomes an alternative indicator for indoor localization systems. The experiment proposed a localization system created by integrating and working between the K-Nearest Neighbors algorithm and the D∗algorithm. The result illustrates the optimal path from the start point to the target point by avoiding the obstacle performing exceptionally well. The K-Nearest Neighbors algorithm provide the result for localization with Root Mean Square Errors of displacement at 1.190 meters, 2.491 meters, and 1.363 meters of X-Axis Y-Axis, respectively. The proposed indoor localization system can have various applications considering different environmental factors in different applications, such as the size of unmanned aerial vehicles when applying indoor unmanned aerial vehicles.
Citation
International Conference on Advanced Communication Technology Icact, 2022-February, 242-247, 2022