Wi-Fi Received Signal Strength-based Indoor Localization System Using K-Nearest Neighbors fingerprint integrated D* algorithm
| Autor: | Thananorn Somjit, Shariff Manuthasna, Tachodom Chooraks, Thaweerath Phisannupawong, Peerapong Tortceka, Patcharin Kamsing, Sitthirak Sanzkarak, Sookaseam Munakhud, Tanatthep Jarawan, Warunyu Hematulin |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Computer science
business.industry Real-time computing Fingerprint (computing) 020206 networking & telecommunications 02 engineering and technology Displacement (vector) k-nearest neighbors algorithm Start point Position (vector) Path (graph theory) 0202 electrical engineering electronic engineering information engineering Global Positioning System 020201 artificial intelligence & image processing Point (geometry) business |
| Zdroj: | 2022 24th International Conference on Advanced Communication Technology (ICACT). |
| DOI: | 10.23919/icact53585.2022.9728918 |
| Popis: | The indoor localization system is essential since the Global Positioning System cannot give an accurate position indoors, especially when several floor plans are considered. Wi-Fi 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|