Title: Research on intelligent indoor location method based on Wi-Fi fingerprint

Authors: Jie Yuan; Yi He

Addresses: Hunan City University, Yiyang, Hunan, China ' Beijing Jinhe Haitai Information Technology Co. Ltd., Zhuhai, Guangdong, China

Abstract: In order to improve indoor location performance based on Wi-Fi fingerprint, the novel algorithm is put forward based on K-mean algorithm and fuzzy support vector machine. Firstly, the basic theories of Wi-Fi location technology, indoor location principle based on location fingerprint database are studied. Secondly, the basic theories of K-means algorithm, fuzzy support vector machine and nearest incremental algorithm are discussed, and the corresponding mathematical model is deduced. Third, the Wi-Fi fingerprint location algorithm procedure is designed. Finally, the simulation analysis is carried out, and results show that the proposed method has higher location performance.

Keywords: intelligent indoor location; Wi-Fi fingerprint; fuzzy support vector machine; FSVM; K-means.

DOI: 10.1504/IJCNDS.2021.114447

International Journal of Communication Networks and Distributed Systems, 2021 Vol.26 No.3, pp.319 - 333

Received: 04 Dec 2019
Accepted: 29 May 2020
Published online: 22 Apr 2021 *

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