Wi-Fi Received Signal Strength-based Indoor Localization System Using K-Nearest Neighbors fingerprint integrated D*algorithm

被引：0

作者：

Jarawan, Tanatthep ^{[1
]}

Kamsing, Patcharin ^{[1
]}

Tortceka, Peerapong ^{[2
]}

Manuthasna, Shariff ^{[2
]}

Hematulin, Warunyu ^{[1
]}

Chooraks, Tachodom ^{[1
]}

Phisannupawong, Thaweerath ^{[1
]}

Sanzkarak, Sitthirak ^{[1
]}

Munakhud, Sookaseam ^{[1
]}

Somjit, Thananorn ^{[1
]}

机构：

[1] Int Acad Aviat Ind, King Mongkuts Inst Technol Ladkrabang, Air Space Control Optimizat & Management Lab, Dept Aeronaut Engn, Bangkok 10520, Thailand

[2] Natl Astron Res Inst Thailand, Chiangmai 50180, Thailand

来源：

2021 23RD INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT 2021): ON-LINE SECURITY IN PANDEMIC ERA | 2021年

关键词：

Indoor localization; Wi-Fi Received Signal Strength Indicator; K -Nearest Neighbor; D*Algorithm; Indoor positioning;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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.

引用

页码：242 / 247

页数：6

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