Visible light positioning system based on an improved weighted k-nearest neighbor algorithm

Ye Tian; Lei Jing; Zhengrong Tong; Peng Li; Xue Wang; Hao Wang; Zhonghan Wang; Yongsheng Jiang

doi:10.1117/12.3054323

20 January 2025 Visible light positioning system based on an improved weighted k-nearest neighbor algorithm

Ye Tian, Lei Jing, Zhengrong Tong, Peng Li, Xue Wang, Hao Wang, Zhonghan Wang, Yongsheng Jiang

Author Affiliations +

Proceedings Volume 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024); 135151N (2025) https://doi.org/10.1117/12.3054323
Event: 4th International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 2024, Chongqing, China

Abstract

Traditional K-Nearest Neighbors (KNN) and Weighted K-Nearest Neighbors (WKNN) algorithms face challenges due to the fixed selection of the K value. To address this issue, we propose a new algorithm that combines Genetic Algorithm (GA) with WKNN, referred to as GA-WKNN. The GA algorithm optimizes and adjusts the K value, thereby reducing errors in the visible light positioning system. Experimental results show that the GA-optimized WKNN significantly improves localization accuracy compared to traditional methods with a fixed K value. This optimization strategy allows the positioning system to more accurately determine the actual position.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ye Tian, Lei Jing, Zhengrong Tong, Peng Li, Xue Wang, Hao Wang, Zhonghan Wang, and Yongsheng Jiang "Visible light positioning system based on an improved weighted k-nearest neighbor algorithm", Proc. SPIE 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 135151N (20 January 2025); https://doi.org/10.1117/12.3054323

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