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WALLSY: The UWB and SmartMesh IP enabled Wireless Ad-hoc Low-power Localization SYstem

Gheorghiu, S; Nagy-Betegh, K; Molnar, R; Grammenos, R; (2021) WALLSY: The UWB and SmartMesh IP enabled Wireless Ad-hoc Low-power Localization SYstem. In: Proceedings of the 2021 International Conference on Localization and GNSS (ICL-GNSS). IEEE: Tampere, Finland. (In press). Green open access

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Abstract

This paper follows the implementation of a proofof-concept localization system for GNSS-denied environments. WALLSY (Wireless Ad-hoc Low-power Localization SYstem) is a portable and modular Ultra Wide-Band (UWB) and Smart Mesh IP (SMIP) hybrid. WALLSY uses UWB two way ranging (TWR) to measure distances, which are then sent via the lowpower SMIP backbone network to a central hub for calculating coordinates of tracked objects. The system is highly flexible and requires no external infrastructure or prior knowledge of the installation site. It uses a completely nomadic topology and delivers high localization accuracy with all modules being battery powered. It achieves this by using a custom time-slotting protocol which maximizes deep-sleep mode for UWB. Battery life can be further improved by activating inertial measurement unit (IMU) filtering. Visualization of tracked objects and system reconfiguration can be executed on-the-fly and are both accessible to end users through a simple graphical user interface (GUI). Results demonstrate that WALLSY can achieve more than ten times longer battery lifetime compared to competing solutions (localizing every 30 seconds). It provides 3D coordinates with an average spatial error of 60.5cm and an average standard deviation of 15cm. The system also provides support for up to 20 tags.

Type: Proceedings paper
Title: WALLSY: The UWB and SmartMesh IP enabled Wireless Ad-hoc Low-power Localization SYstem
Event: 2021 International Conference on Localization and GNSS (ICL-GNSS)
Dates: 01 June 2021 - 03 June 2021
Open access status: An open access version is available from UCL Discovery
Publisher version: https://events.tuni.fi/icl-gnss2021/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: WALLSY, UWB, TWR, Smart Mesh IP, ad-hoc, low-power, IMU, battery-powered, hybrid, sensor fusion, localization, GNSS-denied environments, nomad, modular, noninvasive, fully wireless
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10128700
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