Indoor Positioning: A Comparison of WiFi and Bluetooth Low Energy for Region Monitoring

Alexander Lindemann, Bettina Schnor, Jan Sohre, Petra Vogel

2016

Abstract

Mobile devices like smartphones equipped with several sensors make indoor positioning possible at low costs. This enables location based services, like mobile marketing, navigation, and assistive technologies in healthcare. In case of supporting disoriented people, the exact position of the person has not to be known, but it is sufficient to inform a caretaker when the attended person enters a critical region. This is the so-called region monitoring approach. The paper presents results from region monitoring implemented as an app for Android smartphones using WiFi and the low power protocol Bluetooth Low Energy respectively. Both networks are compared regarding accuracy and the power consumption on the mobile device.

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Paper Citation


in Harvard Style

Lindemann A., Schnor B., Sohre J. and Vogel P. (2016). Indoor Positioning: A Comparison of WiFi and Bluetooth Low Energy for Region Monitoring . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 314-321. DOI: 10.5220/0005704603140321

in Bibtex Style

@conference{healthinf16,
author={Alexander Lindemann and Bettina Schnor and Jan Sohre and Petra Vogel},
title={Indoor Positioning: A Comparison of WiFi and Bluetooth Low Energy for Region Monitoring},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)},
year={2016},
pages={314-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005704603140321},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)
TI - Indoor Positioning: A Comparison of WiFi and Bluetooth Low Energy for Region Monitoring
SN - 978-989-758-170-0
AU - Lindemann A.
AU - Schnor B.
AU - Sohre J.
AU - Vogel P.
PY - 2016
SP - 314
EP - 321
DO - 10.5220/0005704603140321