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

In: Liss 2014

Author

Listed:
  • Chao Zhou

    (Beijing Jiaotong University)

  • Houyao Xie

    (Beijing Jiaotong University)

  • Jiaoyang Shi

    (Beijing Jiaotong University)

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.

Suggested Citation

  • Chao Zhou & Houyao Xie & Jiaoyang Shi, 2015. "Wi-Fi Indoor Location Technology Based on K-Means Algorithm," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 765-770, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_110
    DOI: 10.1007/978-3-662-43871-8_110
    as

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