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Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures

Tesfay Gidey Hailu1,2, Xiansheng Guo2, Haonan Si2

  • 1Department of Software Engineering, Addis Ababa Science and Technology University, Addis Ababa 16417, Ethiopia.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
Summary

Accurate indoor positioning systems (IPSs) are crucial for the Internet of Things. This study analyzes wireless technologies, challenges, and future strategies like machine learning to improve indoor localization accuracy.

Keywords:
IoTcomparative analysisdata fusionensemble learningfeature engineeringindoor positioningsystem designtransfer learning

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