Design and Implementation of an Indoor Localization System Based on RSSI in IEEE 802.11ax

被引:0
|
作者
Juarez, Roberto Gaona [1 ]
Garcia-Barrientos, Abel [1 ]
Acosta-Elias, Jesus [1 ]
Stevens-Navarro, Enrique [1 ]
Galvan, Cesar G. [1 ]
Palavicini, Alessio [1 ]
Cruz, Ernesto Monroy [2 ]
机构
[1] Univ Autonoma San Luis Potosi, Fac Sci, San Luis Potosi 78295, Mexico
[2] Tecnol Nacl Mexico IT Atitalaquia, Dept Ingn Mecatron, Atitalaquia 42970, Hidalgo, Mexico
来源
APPLIED SCIENCES-BASEL | 2025年 / 15卷 / 05期
关键词
indoor localization; RSSI; IEEE; 802.15; 802.11ax; wireless sensor networks; IoT;
D O I
10.3390/app15052620
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This article describes the design, implementation, and evaluation of an indoor localization system based on Received Signal Strength Indicator (RSSI) measurements in wireless sensor networks. While the majority of the literature uses the IEEE 802.15 standard for this type of system, all of the measurements in this study were performed using a test bench operating under the IEEE 802.11ax standard in the 2.4 GHz band. RSSI is widely used due to its simplicity and availability; however, its accuracy is limited by signal attenuation, electromagnetic interference, and environmental variability. To mitigate these limitations, the present work proposes the implementation of advanced techniques, including weighted averages and positioning algorithms such as Min-Max, Maximum Likelihood, and trilateration, aiming to achieve an accuracy of 2 m in controlled conditions. The design also included a specialized test bench to calculate the coordinates and estimate the location of unknown nodes using anchor node positioning. This approach combines the simplicity of RSSI with optimized algorithms, providing a robust and practical solution for indoor localization. The results validate the system's effectiveness and highlight its potential for future applications in real-world environments, opening new possibilities for optimizing wireless sensor networks and addressing the current challenges in localization systems.
引用
收藏
页数:23
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