A radiosity-based method to avoid calibration for indoor positioning systems

作者：

Highlights：

• A WiFi signal propagation model based on the radiosity technique is proposed.

• The model is used to generate a WiFi map for indoor location purposes.

• The performance of the proposal is assessed by means of Machine Learning algorithms.

• Time series for RSSI should be carefully simulated to mimic real behaviour.

摘要

•A WiFi signal propagation model based on the radiosity technique is proposed.•The model is used to generate a WiFi map for indoor location purposes.•The performance of the proposal is assessed by means of Machine Learning algorithms.•Time series for RSSI should be carefully simulated to mimic real behaviour.

论文关键词：Indoor positioning,Radiosity,Classification algorithm,Machine learning,

论文评审过程：Received 28 July 2017, Revised 5 March 2018, Accepted 26 March 2018, Available online 28 March 2018, Version of Record 24 April 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.054