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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 (UGent) , Jens Trogh (UGent) , Kris Vanhecke (UGent) , Luc Martens (UGent) and Wout Joseph (UGent)
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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.
Keywords
Location, location tracking, localisation, tracking, Android, Viterbi, accelerometer, sensor fusion, WiFi, RSSI, body, Android, App, wireless, network, indoor, indoor environment, optimization

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Citation

Please use this url to cite or link to this publication:

MLA
Plets, David 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.
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.
Chicago author-date
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.
Chicago author-date (all authors)
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.
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.
IEEE
[1]
D. Plets, A. Sels, J. Trogh, K. Vanhecke, L. Martens, and W. Joseph, “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), Paris, FRANCE, 2017.
@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},
  keywords     = {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},
}

Web of Science
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