Research on intelligent indoor location method based on Wi-Fi fingerprint. (24th February 2021)

• Record Type: Journal Article
• Authors: Yuan, Jie; He, Yi
• Is Part Of: International journal of communication networks and distributed systems. Volume 26:Number 3(2021)
• Page Start: 319
• Page End: 333
• Publication Date: 2021-02-24
• Subjects: intelligent indoor location -- Wi-Fi fingerprint -- fuzzy support vector machine -- FSVM -- K-means; Computer networks -- Periodicals; Telecommunication systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-3916

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.