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LoRa in a campus: Outdoor localization based on fingerprint using KNN by Osama H. Al-Eidani; Aseel H. Al-Nakkash; Osama Abbas Hussein is a Physics and Astronomy article available to read on EtoBox.

What is LoRa in a campus: Outdoor localization based on fingerprint using KNN about?

Internet of things applications are considered a pillar among modern era technologies. Therefore, it was of uttermost importance to make them locatable i.e., to locate the wireless sensors. Many studies have been written on this subject, among these technologies, Bluetooth and Wi-Fi are often used, but these serve a limited distance and energy consumption. On the other hand Lora, provides substantial range and superior energy consumption as compared to the latter. In Lora it is very typical to achieve distance of more than 2 km, accompanied by a very little energy consumption and a longer battery life in addition to low positioning error. Thus, in this work the authors sought to build a localization scheme that is based on Lora in its core, more specifically a (LoRa) fingerprint approach is proposed. A real case study is materialized by adopting a college campus, where the measurement data are collected in two regions. KNN algorithm is employed to estimate the unknown position, which produces an acceptable estimation error in terms of Root Mean Square Error (RMSE) equals to 3.8 and 2.9 in region 1 and 2, respectively.

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Author

Osama H. Al-Eidani; Aseel H. Al-Nakkash; Osama Abbas Hussein

Publisher

AIP Publishing

Published

2023

Language

EN

Field

Physics and Astronomy (Physical Sciences)