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Design of a Practical WSN Based Fingerprint Localization System

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Abstract

Fingerprint positioning technology is among the most promising choices for seamless localization and is anticipated to be the future of seamless-locating services. The convenience of deployment and the high density signal source of wireless sensor networks (WSN) make them an ideal infrastructure for fingerprint positioning. In related researches, most WSN based fingerprint positioning systems are experimental demos that focus on the algorithm effectiveness and ignore the system reliability. This work proposes a practical WSN based fingerprint localization system. The system covers both indoor and outdoor scenarios and fulfills the demand for seamless localization. This paper work presents four measures that improve fault tolerance and system efficiency: a traffic regulation based radiomap (TRRM) establishing method, a full-overlapping clustering strategy, an adaptive feature space (AFS) algorithm, and a praxeological tracking algorithm. The proposed system is verified by hardware experiments on smart phones. Positioning accuracy is within 5 m in pedestrian tests and 10 m in driving tests.

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Acknowledgements

Many thanks to Ziqing Jia of the 205 institute of norinco group and Meng Liu of zhongxing telecommunication equipment corporation. Their previous work makes this research work possible.

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Authors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Deyue Zou

  2. Harbin Institute of Technology, Harbin, China

    Shuyi Chen, Shuai Han, Weixiao Meng & Jinqiang Li

  3. OPPO company, Dongguan, China

    Di An

  4. Harbin Engineering University, Harbin, China

    Wanlong Zhao

Authors
  1. Deyue Zou
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  2. Shuyi Chen
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  3. Shuai Han
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  4. Weixiao Meng
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  5. Di An
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  6. Jinqiang Li
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  7. Wanlong Zhao
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Correspondence to Shuai Han.

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This research work is supported by the National Natural Science Foundation of China #61701072

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Zou, D., Chen, S., Han, S. et al. Design of a Practical WSN Based Fingerprint Localization System. Mobile Netw Appl 25, 806–818 (2020). https://doi.org/10.1007/s11036-019-01298-4

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