Fuzzy classifier ensembles for hierarchical WiFi-based semantic indoor localization

作者：

Highlights：

• Combination of hierarchical localization and fuzzy classifier ensembles.

• Novel framework for WiFi-based semantic indoor localization.

• Validated in a real-world environment located at the University of Edinburgh.

• Mean error reduced more than a 55% compared to traditional fingerprint localization.

摘要

•Combination of hierarchical localization and fuzzy classifier ensembles.•Novel framework for WiFi-based semantic indoor localization.•Validated in a real-world environment located at the University of Edinburgh.•Mean error reduced more than a 55% compared to traditional fingerprint localization.

论文关键词：Indoor localization,WiFi,Fingerprinting,Fuzzy logic,Classification,Ensembles

论文评审过程：Received 8 March 2017, Revised 10 July 2017, Accepted 1 August 2017, Available online 18 August 2017, Version of Record 31 August 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.007