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Personal and Ubiquitous Computing

, Volume 21, Issue 1, pp 5–15 | Cite as

Redundancy reduction for indoor device-free localization

  • Jinjun Liu
  • Ning AnEmail author
  • Md. Tanbir Hassan
  • Min Peng
  • Zheng Cui
  • Shenghui Zhao
Original Article

Abstract

To improve localization accuracy, device-free passive localization studies usually deploy a number of sensor nodes in indoor environments, which causes redundant features and produces large data volumes and high deployment costs. This paper proposes the concept of a two-level redundancy and formulates the node reduction problem as a redundancy control problem. With the goal of using fewer nodes while maintaining high localization accuracy, a method is proposed to control the two-level redundancy efficiently and reduce the number of nodes greatly. Experiments are performed in two completely different environments. The proposed method is able to maintain accuracy levels above 90% and can efficiently reduce the total number of nodes by 59.09% in a large room (150 \({\mathrm{m}}^2\)) and by 68.75% in a small room (25 \({\mathrm{m}}^2\)). Furthermore, due to reduced nodes the proposed method can drastically reduce the needed amount of localization data and the hardware costs.

Keywords

Indoor passive localization Redundancy reduction Node optimization Node reduction Reducing the amount of data 

Notes

Acknowledgements

This work was supported in part by the International S&T Cooperation Program of China (No. 2015DFA11450), the Natural Science Foundation of China (Nos. 71661167004 and 61472057), the ‘111’ Project of the Chinese Ministry of Education and State Administration of Foreign Experts Affairs (No. B14025).

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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  • Jinjun Liu
    • 1
    • 2
  • Ning An
    • 1
    Email author
  • Md. Tanbir Hassan
    • 1
  • Min Peng
    • 1
  • Zheng Cui
    • 3
  • Shenghui Zhao
    • 2
  1. 1.School of Computer and InformationHefei University of TechnologyHefeiChina
  2. 2.School of Computer and Information EngineeringChuzhou UniversityChuzhouChina
  3. 3.Everjoy Senior HomeHefeiChina

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