Research Article
An Effective BLE Fingerprint Database Construction Method Based on MEMS
@INPROCEEDINGS{10.1007/978-3-319-73564-1_14, author={Mu Zhou and Xiaoxiao Jin and Zengshan Tian and Haifeng Cong and Haoliang Ren}, title={An Effective BLE Fingerprint Database Construction Method Based on MEMS}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Indoor positioning Fingerprint database construction method BLE}, doi={10.1007/978-3-319-73564-1_14} }- Mu Zhou
Xiaoxiao Jin
Zengshan Tian
Haifeng Cong
Haoliang Ren
Year: 2018
An Effective BLE Fingerprint Database Construction Method Based on MEMS
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_14
Abstract
In indoor positioning system based on fingerprint, the traditional fingerprint database construction method consumes much manpower and time cost. To solve this problem, we propose an effective method for constructing fingerprint database by using Microelectro Mechanical System (MEMS) to assist Bluetooth Low Energy (BLE), which overcomes the low efficiency of traditional methods. Meanwhile, the method achieves the comparable positioning accuracy and reduces workload more than 70%. In the optimization procedure, we use affine propagation clustering, outlier detection and filtering of Received Signal Strength Indication (RSSI) to optimize fingerprint database. Finally, the BLE positioning error conducted by the effective database is about 2 m.
