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An assessment of different optimization strategies for location tracking with an Android application on a smartphone

David Plets UGent, Alexander Sels, Jens Trogh UGent, Kris Vanhecke UGent, Luc Martens UGent and Wout Joseph UGent (2017) 2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP). In Proceedings of the European Conference on Antennas and Propagation
abstract
This paper presents a study of the efficacy of different optimization strategies for location tracking on an Android App that is run on a smartphone. The basic algorithm determines the most probable path of the user within a WiFi network by comparing raw RSSI measurements at each location with values in a fingerprint database. The investigated optimization strategies include: accounting for previous locations, increasing the number of WiFi scans per location, applying an advanced averaging technique, exploiting accelerometer data, shifting the frequency band from 2.4 to 5 GHz, and changing the position of the smartphone with respect to the body. It is shown that especially the accelerometer data allow enhancing the location estimation significantly. By combining different techniques, an average accuracy better than 2 m can be achieved.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
keyword
Location, location tracking, localisation, tracking, Android, Viterbi, accelerometer, sensor fusion, WiFi, RSSI, body, Android, App, wireless, network, indoor, indoor environment, optimization
in
2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP)
series title
Proceedings of the European Conference on Antennas and Propagation
pages
5 pages
publisher
Ieee
place of publication
New york
conference name
11th European Conference on Antennas and Propagation (EUCAP)
conference location
Paris, FRANCE
conference start
2017-03-19
conference end
2017-03-24
Web of Science type
Proceedings Paper
Web of Science id
000403827302007
ISSN
2164-3342
ISBN
978-8-8907-0187-0
language
English
UGent publication?
yes
classification
P1
id
8530055
handle
http://hdl.handle.net/1854/LU-8530055
date created
2017-09-01 14:13:00
date last changed
2017-09-06 07:26:54
@inproceedings{8530055,
  abstract     = {This paper presents a study of the efficacy of different optimization strategies for location tracking on an Android App that is run on a smartphone. The basic algorithm determines the most probable path of the user within a WiFi network by comparing raw RSSI measurements at each location with values in a fingerprint database. The investigated optimization strategies include: accounting for previous locations, increasing the number of WiFi scans per location, applying an advanced averaging technique, exploiting accelerometer data, shifting the frequency band from 2.4 to 5 GHz, and changing the position of the smartphone with respect to the body. It is shown that especially the accelerometer data allow enhancing the location estimation significantly. By combining different techniques, an average accuracy better than 2 m can be achieved.},
  author       = {Plets, David and Sels, Alexander and Trogh, Jens and Vanhecke, Kris and Martens, Luc and Joseph, Wout},
  booktitle    = {2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP)},
  isbn         = {978-8-8907-0187-0},
  issn         = {2164-3342},
  keyword      = {Location,location tracking,localisation,tracking,Android,Viterbi,accelerometer,sensor fusion,WiFi,RSSI,body,Android,App,wireless,network,indoor,indoor environment,optimization},
  language     = {eng},
  location     = {Paris, FRANCE},
  pages        = {5},
  publisher    = {Ieee},
  title        = {An assessment of different optimization strategies for location tracking with an Android application on a smartphone},
  year         = {2017},
}

Chicago
Plets, David, Alexander Sels, Jens Trogh, Kris Vanhecke, Luc Martens, and Wout Joseph. 2017. “An Assessment of Different Optimization Strategies for Location Tracking with an Android Application on a Smartphone.” In 2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP). New york: Ieee.
APA
Plets, D., Sels, A., Trogh, J., Vanhecke, K., Martens, L., & Joseph, W. (2017). An assessment of different optimization strategies for location tracking with an Android application on a smartphone. 2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP). Presented at the 11th European Conference on Antennas and Propagation (EUCAP), New york: Ieee.
Vancouver
1.
Plets D, Sels A, Trogh J, Vanhecke K, Martens L, Joseph W. An assessment of different optimization strategies for location tracking with an Android application on a smartphone. 2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP). New york: Ieee; 2017.
MLA
Plets, David, Alexander Sels, Jens Trogh, et al. “An Assessment of Different Optimization Strategies for Location Tracking with an Android Application on a Smartphone.” 2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP). New york: Ieee, 2017. Print.