SCaNME: Location tracking system in large-scale campus Wi-Fi environment using unlabeled mobility map

作者：

Highlights：

• A location tracking system SCaNME without any cumbersome work in fingerprint recording is proposed.

• The mobility map is constructed from Wi-Fi data which have no explicit information of coordinates.

• The performance of SCaNME has been carefully examined based on the actual Wi-Fi data in HKUST campus.

摘要

•A location tracking system SCaNME without any cumbersome work in fingerprint recording is proposed.•The mobility map is constructed from Wi-Fi data which have no explicit information of coordinates.•The performance of SCaNME has been carefully examined based on the actual Wi-Fi data in HKUST campus.

论文关键词：Wi-Fi location tracking,Mobility map,Shotgun reads,Spectral clustering,Kullback–Leibler divergence,Allen’s logics

论文评审过程：Available online 30 October 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.10.047