Evaluation of Range-based Methods for Localization in Grain Storages

Jakob Pilegaard Juul, Ole Green, Rune Hylsberg Jacobsen

2016

Abstract

Monitoring biomass storages by using wireless sensor networks with localization capabilities can help prevent economic losses during storage, help to improve the grain quality and lower costs during drying. In this article, the received signal strength was used to perform localization of wireless sensor nodes embedded in a grain storage. A path loss model that takes into account the temperature and moisture content of the grain at each sensor node was used for estimating distance based on received signal strength. The average error of the position estimates was 6.3 m. Tests using near-field electromagnetic ranging were performed to evaluate the performance of the method. It was found that the experimental setup worked best between 2 - 7 m where the average error was 4.9% of the actual distance.

Paper Citation

in Harvard Style

Juul J., Green O. and Jacobsen R. (2016). Evaluation of Range-based Methods for Localization in Grain Storages . In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-169-4, pages 105-112. DOI: 10.5220/0005669601050112

in Bibtex Style

@conference{sensornets16,
author={Jakob Pilegaard Juul and Ole Green and Rune Hylsberg Jacobsen},
title={Evaluation of Range-based Methods for Localization in Grain Storages},
booktitle={Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,},
year={2016},
pages={105-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005669601050112},
isbn={978-989-758-169-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,
TI - Evaluation of Range-based Methods for Localization in Grain Storages
SN - 978-989-758-169-4
AU - Juul J.
AU - Green O.
AU - Jacobsen R.
PY - 2016
SP - 105
EP - 112
DO - 10.5220/0005669601050112