Optimal granularity selection for indoor localization detection with wireless iot networks

HIGHLIGHTS

  • who: Feng Cao and collaborators from the School of Computer and Information Technology, Shanxi University, Taiyuan, China have published the research work: Optimal Granularity Selection for Indoor Localization Detection with Wireless IoT Networks, in the Journal: Wireless Communications and Mobile Computing of 10/08/2022
  • what: The research work of discretization mainly focuses on the improvement of supervised discretization methods.
  • how: From these three maps the impacts of discretization methods on the classification results are compared.

SUMMARY

    With the rapid development of wireless indoor positioning systems and techniques in . . .

     

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