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|Title:||Intelligent perception and positioning technology of internet of things by K-nearest neighbor matching algorithm||Authors:||Zou, Jinting
|Keywords:||Engineering::Computer science and engineering||Issue Date:||2022||Source:||Zou, J., Wu, X. & Zou, Z. (2022). Intelligent perception and positioning technology of internet of things by K-nearest neighbor matching algorithm. Wireless Communications and Mobile Computing, 2022, 1-13. https://dx.doi.org/10.1155/2022/9631930||Journal:||Wireless Communications and Mobile Computing||Abstract:||To study the intelligent sensing and positioning technology of the Internet of Things (IoT) combined with the K-nearest neighbor algorithm, the K-nearest neighbor matching algorithm and optimization algorithm are introduced using the indoor Wi-Fi positioning technology. The study proposes weighting K-nearest neighbor (WKNN) by weighted Euclidean distance, adaptive weighted Euclidean distance K-nearest neighbor Wi-Fi localization algorithm, and optimal K-value Wi-Fi fingerprint localization algorithm. The experimental error is verified. The experimental results show that the lowest error of continuous acquisition of 3 s signal values in experimental environment A is 1.8815 m, which is 10.13% lower than the error of only acquiring 1 s for the same K-value. The lowest error of environment B scheme two can reach 1.8862, which is 7.06% lower than the error of the same K-value. The optimal K-value Wi-Fi fingerprint positioning algorithm by distance constraint has better positioning accuracy than other KNN positioning algorithms, and the positioning fluctuation is smaller. The average positioning error of the optimal K in environment A is 1.2987 m, which is 0.2797 m less than the average of the traditional positioning algorithm. In environment B, the average positioning error of the optimal K is 1.5353 m, which is 0.3253 m less than the average of the traditional positioning algorithm. Therefore, the optimal K-value Wi-Fi positioning algorithm proposed has better performance.||URI:||https://hdl.handle.net/10356/161374||ISSN:||1530-8669||DOI:||10.1155/2022/9631930||Schools:||School of Computer Science and Engineering||Rights:||© 2022 Jinting Zou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Journal Articles|
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