Localization System based on Ultra Low-power Radio Landmarks

Fabian Höflinger, Joan Bordoy, Rui Zhang, Amir Bannoura, Nikolas Simon, Leonhard Reindl, Christian Schindelhauer

2018

Abstract

In this paper we present a novel indoor localization system using external reference landmarks as a guidance system for emergency responders. The landmarks are based on low-power wake-up nodes which can be integrated into smoke detectors. The radio wake-up technology is equipped in the system to extend the lifetime of landmarks. While in sleep mode our landmarks have an overall power consumption of 66μW making them ready-to-use in case of an emergency for up to 5 years. The landmarks are small and cost-efficient and may be integrated into the building infrastructure. The positioning is achieved by combining the radio ranging and IMU based dead reckoning to overcome the disadvantages of both systems. The experimental results show that the proposed system is able to outperform both standalone systems and meanwhile maintain the low power consumption.

Paper Citation

in Harvard Style

Höflinger F., Bordoy J., Zhang R., Bannoura A., Simon N., Reindl L. and Schindelhauer C. (2018). Localization System based on Ultra Low-power Radio Landmarks.In Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-284-4, pages 51-59. DOI: 10.5220/0006608800510059

in Bibtex Style

@conference{sensornets18,
author={Fabian Höflinger and Joan Bordoy and Rui Zhang and Amir Bannoura and Nikolas Simon and Leonhard Reindl and Christian Schindelhauer},
title={Localization System based on Ultra Low-power Radio Landmarks},
booktitle={Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2018},
pages={51-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006608800510059},
isbn={978-989-758-284-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Localization System based on Ultra Low-power Radio Landmarks
SN - 978-989-758-284-4
AU - Höflinger F.
AU - Bordoy J.
AU - Zhang R.
AU - Bannoura A.
AU - Simon N.
AU - Reindl L.
AU - Schindelhauer C.
PY - 2018
SP - 51
EP - 59
DO - 10.5220/0006608800510059