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An Study of Indoor Localization Algorithm Based on Imperfect Signal Coverage in Wireless Networks

  • Ping Li
  • Limin Sun
  • Qing Fang
  • Jinyang Xie
  • Wu Yang
  • Kui Ma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7929)

Abstract

Existing localization algorithms didn’t consider the important factor of the antenna measuring angles. And most wireless indoor localization algorithms require a site survey process which is time-consuming and labor-intensive. This paper presents a featured region localization algorithm without site survey and discusses the measured angle in different intervals. According to the relationship among the fingerprints sets of the same angle interval, our proposed algorithm is used to find the featured points within the region. Regions of points are determined by calculating Euclidean distance between the points and APs (Access Points). Experiments are conducted in an 8m by 8m laboratory, and results show that this algorithm has superior performance compared with existing algorithms.

Keywords

localization measured angles site survey featured points 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ping Li
    • 1
    • 2
  • Limin Sun
    • 1
    • 2
  • Qing Fang
    • 1
  • Jinyang Xie
    • 1
  • Wu Yang
    • 1
  • Kui Ma
    • 3
  1. 1.Computer and Communication Engineering InstituteChangsha University of Science and TechnologyHunanChina
  2. 2.State Key Lab. of Information Security, Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  3. 3.Wuxi Internet of Things Industry Research InstituteChina

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