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Authors: Jakob Pilegaard Juul 1 ; Ole Green 2 and Rune Hylsberg Jacobsen 3

Affiliations: 1 Aarhus University and Kongskilde Industries A/S, Denmark ; 2 Kongskilde Industries A/S, Denmark ; 3 Aarhus University, Denmark

Keyword(s): Wireless Sensor Networks, WSN, Localization, Biomass.

Related Ontology Subjects/Areas/Topics: Data Manipulation ; Reasoning on Sensor Data ; Sensor Networks

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.

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Paper citation in several formats:
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 - SENSORNETS; ISBN 978-989-758-169-4; ISSN 2184-4380, SciTePress, pages 105-112. DOI: 10.5220/0005669601050112

@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 - SENSORNETS},
year={2016},
pages={105-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005669601050112},
isbn={978-989-758-169-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 5th International Confererence on Sensor Networks - SENSORNETS
TI - Evaluation of Range-based Methods for Localization in Grain Storages
SN - 978-989-758-169-4
IS - 2184-4380
AU - Juul, J.
AU - Green, O.
AU - Jacobsen, R.
PY - 2016
SP - 105
EP - 112
DO - 10.5220/0005669601050112
PB - SciTePress