LISS 2014 pp 765-770 | Cite as

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

Conference paper

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 

References

  1. Deng ZL, Wang WJ, Xu LM (2012) A K-means based method to identify floor in WLAN indoor positioning system. Comput Eng Softw 33(12):114–117Google Scholar
  2. Zhongliang D, Yanpei Y, Xie Y, et al (2013) Situation and development tendency of indoor positioning. Communications, China 10(3):42–55Google Scholar
  3. Lu HH, Liu XC, Zhang C, Lin XK (2010) Comparison of the triangle and location-based fingerprint recognition algorithm Wi-Fi positioning. Mob Commun 5(10):72–76Google Scholar
  4. Wang GH, Liu HX, Hu HS, Shen SB (2011) Indoor localization algorithm: a survey. In: 19th national network and data communication conference, WuxiGoogle Scholar
  5. Zhang F, Chen DC, Yang J (2012) Comparison of indoor positioning technology and system.Guangdong Commun Technol 10(11):73–79Google Scholar
  6. Zhu M (2008) Analysis of indoor positioning technology. Mod Comput 6(2):79–81Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.School of Economics and ManagementBeijing Jiaotong UniversityBeijingChina

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