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An Effective QoS-Based Reliable Route Selecting Scheme for Mobile Ad-Hoc Networks Read chapter Read first chapter

2018 | OriginalPaper | Chapter

An Effective BLE Fingerprint Database Construction Method Based on MEMS

Authors : Mu Zhou, Xiaoxiao Jin, Zengshan Tian, Haifeng Cong, Haoliang Ren

Published in: Machine Learning and Intelligent Communications

Publisher: Springer International Publishing

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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.

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Metadata
Title
An Effective BLE Fingerprint Database Construction Method Based on MEMS
Authors
Mu Zhou
Xiaoxiao Jin
Zengshan Tian
Haifeng Cong
Haoliang Ren
Copyright Year
2018
Book
Machine Learning and Intelligent Communications

Print ISBN: 978-3-319-73563-4

Electronic ISBN: 978-3-319-73564-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-73564-1_14

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