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2021 | OriginalPaper | Chapter

Bluetooth Low Energy Livestock Positioning for Smart Farming Applications

Author : Maciej Nikodem

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

Device localization provides additional information and context to IoT systems, including Agriculture 4.0 and Smart Farming. However, enabling localization incurs additional requirements and trade-offs that often do not fit into application constraints – use of specific radio technologies, increased communication, computational, and energy costs. This paper presents a localization method that was designed for Smart Farming and applies to a wide range of radio technologies and IoT systems. The method was verified in a real-life IoT system dedicated to monitor cow health and behavior. In a large multi-path environment, with a large number of obstacles, using only 10 anchors, the system achieves an average localization error equal to 6.3 m. This allows to use the proposed approach for animal tracking and activity monitoring which is beneficial for well-being assessment.

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Title: Bluetooth Low Energy Livestock Positioning for Smart Farming Applications
Author: Maciej Nikodem
Publisher: Springer International Publishing
Book: Computational Science – ICCS 2021
Print ISBN: 978-3-030-77969-6

Electronic ISBN: 978-3-030-77970-2

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-77970-2_5

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