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Using Wi-Fi HaLow Technology for IoT GNSS Monitoring Systems (13024)

Jun Wang, Charles Wang, David Cooper and Lee Hellen (Australia)
Dr. Jun Wang
Head of Research
Kurloo Technology Pty Ltd
Kurloo Technology Pty Ltd
Kurloo Technology Pty Ltd
Brisbane
Australia
 
Corresponding author Dr. Jun Wang (email: jun.wang[at]kurloo.io, tel.: (+61) 7 3554 0291)
 

[ abstract ] [ paper ] [ handouts ]

Published on the web 2025-03-16
Received 2024-12-02 / Accepted n/a
This paper is one of selection of papers published for the FIG Working Week 2025 in Brisbane, Australia PEER REVIEW in Brisbane, Australia and has undergone the FIG Peer Review Process.

FIG Working Week 2025 in Brisbane, Australia PEER REVIEW
ISBN n/a ISSN 2307-4086
URL n/a

Abstract

This study pioneers the integration of Wi-Fi HaLow technology into IoT-based Global Navigation Satellite System (GNSS) monitoring systems, with a focus on landslip monitoring applications. Wi-Fi HaLow offers an advantageous mix of low power consumption, extended communication range, and robust data throughput, making it highly suitable for remote and challenging environments. While the limited connection range of Wi-Fi HaLow may appear restrictive, this limitation aligns well with the short baseline requirements of high-precision, low-cost GNSS monitoring. The research compares Wi-Fi HaLow with traditional communication technologies, highlighting its advantages in scenarios where LTE is unavailable. Field experiments were conducted at two sites in New South Wales, Australia: one utilizing LTE-M communication and the other Wi-Fi HaLow. Results demonstrate the capability of Wi-Fi HaLow to support reliable data transmission over significant distances while maintaining system autonomy with solar-powered devices. Despite observed delays, the system’s store-and-forward mechanism ensured no data loss during network outages. The findings underscore Wi-Fi HaLow’s potential as a viable solution for high-precision GNSS applications, providing critical insights for advancing IoT-GNSS monitoring in remote or harsh environments.
 
Keywords: GNSS/GPS; Engineering survey; Deformation measurement; Low cost technology; Internet of Things; Wi-Fi HaLow; Landslide

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