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Phanupong Tempiem

As seen in: MDPI
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Articles

Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions

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By Phanupong Tempiem, Rardchawadee Silapunt
| MDPI
1. Introduction Low-Power Wide Area Network (LPWAN) [1] has now emerged as one of the most popular wireless networks for the Internet of Things (IoT). LPWAN has found various applications in areas such as smart cities, smart logistics, and smart farming. Long-Range Wide Area Network (LoRaWAN) [2] is one of the LPWAN technologies that has received much attention for the past several years due to its low power consumption, large coverage area, high security, long battery life, and low cost.
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Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions

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By Rardchawadee Silapunt, Phanupong Tempiem
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 24 July 2024 / Approved: 25 July 2024 / Online: 25 July 2024 (12:00:01 CEST) Tempiem, P.; Silapunt, R. Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions. Preprints 2024, 2024072033. https://doi.org/10.20944/preprints202407.2033.v1 Tempiem, P.; Silapunt, R.
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