Wi-Fi Indoor Location Technology Based on K-Means Algorithm

Chao Zhou (), Houyao Xie () and Jiaoyang Shi ()
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Chao Zhou: Beijing Jiaotong University
Houyao Xie: Beijing Jiaotong University
Jiaoyang Shi: Beijing Jiaotong University

A chapter in LISS 2014, 2015, pp 765-770 from Springer

Abstract: Abstract With GPS-based outdoor location maturing, its defect in the indoor environment is becoming increasingly prominent. And with Wireless City being promoted, Wi-Fi wireless communications technology coverage is more widely, providing a foundation of equipment for Wi-Fi-based indoor location. This paper use Wi-Fi signal and smart phone to put forward a Wi-Fi-based indoor location algorithm based on K-means algorithm, which can combine K-means clustering analysis with location fingerprint recognition algorithm. After testing, the improved algorithm has higher positioning accuracy and it costs shorter response time.

Keywords: Indoor location; Wi-fi; Finger print recognition algorithm; K-means algorithm (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_110

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DOI: 10.1007/978-3-662-43871-8_110

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