On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction. / Nguyen, Khuong; Luo, Zhiyuan; Watkins, Chris.

Progress in Location-Based Services 2014. ed. / Georg Gartner; Haosheng Huang. Germany : Springer, 2015. p. 63-78 (Lecture Notes in Geoinformation and Cartography).

Research output: Chapter in Book/Report/Conference proceedingChapter

Published

Standard

On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction. / Nguyen, Khuong; Luo, Zhiyuan; Watkins, Chris.

Progress in Location-Based Services 2014. ed. / Georg Gartner; Haosheng Huang. Germany : Springer, 2015. p. 63-78 (Lecture Notes in Geoinformation and Cartography).

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Nguyen, K, Luo, Z & Watkins, C 2015, On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction. in G Gartner & H Huang (eds), Progress in Location-Based Services 2014. Lecture Notes in Geoinformation and Cartography, Springer, Germany, pp. 63-78. https://doi.org/10.1007/978-3-319-11879-6_5

APA

Nguyen, K., Luo, Z., & Watkins, C. (2015). On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction. In G. Gartner, & H. Huang (Eds.), Progress in Location-Based Services 2014 (pp. 63-78). (Lecture Notes in Geoinformation and Cartography). Springer. https://doi.org/10.1007/978-3-319-11879-6_5

Vancouver

Nguyen K, Luo Z, Watkins C. On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction. In Gartner G, Huang H, editors, Progress in Location-Based Services 2014. Germany: Springer. 2015. p. 63-78. (Lecture Notes in Geoinformation and Cartography). https://doi.org/10.1007/978-3-319-11879-6_5

Author

Nguyen, Khuong ; Luo, Zhiyuan ; Watkins, Chris. / On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction. Progress in Location-Based Services 2014. editor / Georg Gartner ; Haosheng Huang. Germany : Springer, 2015. pp. 63-78 (Lecture Notes in Geoinformation and Cartography).

BibTeX

@inbook{b1566727b9b54f0ca13e124317f05707,
title = "On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction",
abstract = "An epidemic may be controlled or predicted if we can monitor the history of physical human contacts. As most people have a smart phone, a contact between two persons can be regarded as a handshake between the two phones. Our task becomes how to detect the moment the two mobile phones are close. In this paper, we investigate the possibility of using the outdoor WLAN signals, provided by public Access Points, for off-line mobile phones collision detection. Our method does not require GPS coverage, or real-time monitoring. We designed an Android app running in the phone{\textquoteright}s background to periodically collect the outdoor WLAN signals. This data are then analysed to detect the potential contacts. We also discuss several approaches to handle the mobile phone diversity, and the WLAN scanning latency issue. Based on our measurement campaign in the real world, we conclude that it is feasible to detect the co-location of two phones with the WLAN signals only.",
keywords = "epidemic tracking, co-localisation, wlan signals",
author = "Khuong Nguyen and Zhiyuan Luo and Chris Watkins",
year = "2015",
doi = "10.1007/978-3-319-11879-6_5",
language = "English",
isbn = "978-3-319-11878-9",
series = "Lecture Notes in Geoinformation and Cartography",
publisher = "Springer",
pages = "63--78",
editor = "Georg Gartner and Haosheng Huang",
booktitle = "Progress in Location-Based Services 2014",

}

RIS

TY - CHAP

T1 - On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction

AU - Nguyen, Khuong

AU - Luo, Zhiyuan

AU - Watkins, Chris

PY - 2015

Y1 - 2015

N2 - An epidemic may be controlled or predicted if we can monitor the history of physical human contacts. As most people have a smart phone, a contact between two persons can be regarded as a handshake between the two phones. Our task becomes how to detect the moment the two mobile phones are close. In this paper, we investigate the possibility of using the outdoor WLAN signals, provided by public Access Points, for off-line mobile phones collision detection. Our method does not require GPS coverage, or real-time monitoring. We designed an Android app running in the phone’s background to periodically collect the outdoor WLAN signals. This data are then analysed to detect the potential contacts. We also discuss several approaches to handle the mobile phone diversity, and the WLAN scanning latency issue. Based on our measurement campaign in the real world, we conclude that it is feasible to detect the co-location of two phones with the WLAN signals only.

AB - An epidemic may be controlled or predicted if we can monitor the history of physical human contacts. As most people have a smart phone, a contact between two persons can be regarded as a handshake between the two phones. Our task becomes how to detect the moment the two mobile phones are close. In this paper, we investigate the possibility of using the outdoor WLAN signals, provided by public Access Points, for off-line mobile phones collision detection. Our method does not require GPS coverage, or real-time monitoring. We designed an Android app running in the phone’s background to periodically collect the outdoor WLAN signals. This data are then analysed to detect the potential contacts. We also discuss several approaches to handle the mobile phone diversity, and the WLAN scanning latency issue. Based on our measurement campaign in the real world, we conclude that it is feasible to detect the co-location of two phones with the WLAN signals only.

KW - epidemic tracking

KW - co-localisation

KW - wlan signals

U2 - 10.1007/978-3-319-11879-6_5

DO - 10.1007/978-3-319-11879-6_5

M3 - Chapter

SN - 978-3-319-11878-9

T3 - Lecture Notes in Geoinformation and Cartography

SP - 63

EP - 78

BT - Progress in Location-Based Services 2014

A2 - Gartner, Georg

A2 - Huang, Haosheng

PB - Springer

CY - Germany

ER -