Next Article in Journal
Potentiometric NO2 Sensors Based on Thin Stabilized Zirconia Electrolytes and Asymmetric (La0.8Sr0.2)0.95MnO3 Electrodes
Previous Article in Journal
Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(7), 17534-17557; doi:10.3390/s150717534

Collaborative WiFi Fingerprinting Using Sensor-Based Navigation on Smartphones

1
GNSS Research Center, Wuhan University, No.129 Luoyu Road, Wuhan 430079, China
2
Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N1N4, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 3 June 2015 / Revised: 4 July 2015 / Accepted: 10 July 2015 / Published: 20 July 2015
(This article belongs to the Section Physical Sensors)

Abstract

This paper presents a method that trains the WiFi fingerprint database using sensor-based navigation solutions. Since micro-electromechanical systems (MEMS) sensors provide only a short-term accuracy but suffer from the accuracy degradation with time, we restrict the time length of available indoor navigation trajectories, and conduct post-processing to improve the sensor-based navigation solution. Different middle-term navigation trajectories that move in and out of an indoor area are combined to make up the database. Furthermore, we evaluate the effect of WiFi database shifts on WiFi fingerprinting using the database generated by the proposed method. Results show that the fingerprinting errors will not increase linearly according to database (DB) errors in smartphone-based WiFi fingerprinting applications. View Full-Text
Keywords: WiFi; indoor positioning; MEMS sensors; training; PDR WiFi; indoor positioning; MEMS sensors; training; PDR
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, P.; Zhao, Q.; Li, Y.; Niu, X.; Zhuang, Y.; Liu, J. Collaborative WiFi Fingerprinting Using Sensor-Based Navigation on Smartphones. Sensors 2015, 15, 17534-17557.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top