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Fine-grained grid computing model for Wi-Fi indoor localization in complex environments

Yan Liang Song Chen Xin Dong Tu Liu

电子科技学刊2024，Vol.22Issue(1)：42-52,11.

电子科技学刊2024，Vol.22Issue(1)：42-52,11.DOI:10.1016/j.jnlest.2024.100234

Fine-grained grid computing model for Wi-Fi indoor localization in complex environments

Yan Liang ¹Song Chen ¹Xin Dong ¹Tu Liu²

作者信息

1. School of Computer Engineering,Chengdu Technological University,Chengdu,611730,China
2. HAN Networks Corporation Limited,Beijing,100094,China
折叠

摘要

关键词

Fine-grained grid computing(FGGC)/Indoor localization/Path loss/Random forest/Reference points(RPs)

Key words

Fine-grained grid computing(FGGC)/Indoor localization/Path loss/Random forest/Reference points(RPs)

引用本文复制引用

Yan Liang,Song Chen,Xin Dong,Tu Liu..Fine-grained grid computing model for Wi-Fi indoor localization in complex environments[J].电子科技学刊,2024,22(1):42-52,11.

基金项目

This work was supported by the Open Project of Sichuan Provincial Key Laboratory of Philosophy and Social Science for Language Intelligence in Special Education under Grant No.YYZN-2023-4 and the Ph.D.Fund of Chengdu Technological University under Grant No.2020RC002. （）

电子科技学刊

ISSN：1674-862X

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