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Published on 24 January 2025
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Ding,H. (2025). Applications and Challenges of Ultra Wideband RF Technology in the Internet of Things. Applied and Computational Engineering,133,16-23.
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Applications and Challenges of Ultra Wideband RF Technology in the Internet of Things

Haoyuan Ding *,1,
  • 1 Electronic Engineering Department, Chengdu University of Information Technology, Chengdu, 610000, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.20595

Abstract

With the rapid advancement of the Internet of Things (IoT), Ultra Wideband (UWB) Radio Frequency (RF) technology has emerged as a key communication method, providing distinct benefits for short-range, high-speed wireless connectivity. Thus, the paper explores the application and challenges of UWB RF technology with the aim of investigating how UWB technology, characterized by its high-precision positioning, high-speed data transmission, and low-power consumption, can be used in various IoT domains. By examining the fundamentals of UWB technology, specific applications such as smart homes, industrial automation, and health monitoring are examined. The analysis highlights the potential of UWB in enhancing positioning accuracy in smart homes, improving production efficiency and safety in industrial settings, and enabling real-time health monitoring with low latency. Through a detailed review of existing literature and case studies, it assesses the performance and potential of UWB in these areas, and identifies challenges facing UWB technology, including multipath interference, signal fading, spectrum sharing, and device interoperability and standardization. The results demonstrate that while UWB has great potential in the IoT, it requires further technological advancements and standardization to overcome its current limitations.

Keywords

Ultra Wideband, Radio Frequency, Internet of Things, High Precision Localization, Standardization

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Cite this article

Ding,H. (2025). Applications and Challenges of Ultra Wideband RF Technology in the Internet of Things. Applied and Computational Engineering,133,16-23.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/
ISBN:978-1-83558-943-4(Print) / 978-1-83558-944-1(Online)
Conference date: 12 January 2025
Editor:Stavros Shiaeles
Series: Applied and Computational Engineering
Volume number: Vol.133
ISSN:2755-2721(Print) / 2755-273X(Online)

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