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International Conference on Advanced Hybrid Information Processing

ADHIP 2020: Advanced Hybrid Information Processing pp 53–65Cite as

Artificial Intelligence-Based Wireless Sensor Network Radio Frequency Signal Positioning Method

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Abstract

Aiming at the problem of low positioning accuracy of existing wireless sensor network node positioning methods, a distributed node positioning method based on radio frequency interference is proposed. Analyze the structure of the wireless sensor network, use two anchor nodes to form a radio frequency interference field, and use the movement of one of the anchor nodes to generate the Doppler effect, so that each node can obtain the instantaneous frequency indicated by its low frequency received signal field strength the angle information with the mobile anchor node, combined with the geographic location of the anchor node, the node merges multiple sets of positioning angle information to obtain the optimal position estimate. The simulation results show that, compared with other localization methods, the positioning accuracy of this method is significantly improved, and the localization time of radio frequency signal in wireless sensor networks is shortened.

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Acknowledgements

The research is supported by Research and design of equipment management system based on RFID(CJGX2016-KY-YZK041).

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Authors and Affiliations

  1. College of Mechatronic Engineering, Beijing Polytechnic, Beijing, 100176, China

    Zhao Dan & Qu Ming-fei

Authors
  1. Zhao Dan
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  2. Qu Ming-fei
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Corresponding author

Correspondence to Zhao Dan .

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Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Shuai Liu

  2. Hunan Normal University, Changsha, China

    Liyun Xia

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Dan, Z., Ming-fei, Q. (2021). Artificial Intelligence-Based Wireless Sensor Network Radio Frequency Signal Positioning Method. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-030-67871-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-67871-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67870-8

  • Online ISBN: 978-3-030-67871-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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