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Sirius: A Self-Localization System for Resource-Constrained IoT Sensors

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Nirupam RoyAuthors Info & Claims

MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services

Pages 289 - 302

https://doi.org/10.1145/3581791.3596861

Published: 18 June 2023 Publication History

Abstract

Low-power sensor networks are transforming large-scale sensing in precision farming, livestock tracking, climate-monitoring and surveying. Accurate and robust localization in such low-power sensor nodes has never been as crucial as it is today. This paper presents, Sirius, a self-localization system using a single receiver for low-power IoT nodes. Traditionally, systems have relied on antenna arrays and tight synchronization to estimate angle-of-arrival (AoA) and time-of-flight with known access points. While these techniques work well for regular mobile systems, low-power IoT nodes lack the resources to support these complex systems. Sirius explores the use of gain-pattern reconfigurable antennas with passive envelope detector-based radios to perform AoA estimation without requiring any kind of synchronization. It shows a technique to embed direction specific codes to the received signals which are transparent to regular communication channel but carry AoA information with them. Sirius embeds these direction-specific codes by using reconfigurable antennas and fluctuating the gain pattern of the antenna. Our prototype demonstrates a median error of 7 degrees in AoA estimation and 2.5 meters in localization, which is similar to state-of-the-art antenna array-based systems. Sirius opens up new possibilities for low-power IoT nodes.

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Cited By

Garg NGhosh ARoy NShu YLiu JTan RHe YChen J(2024)Poster: Wideband Cellular Sensing for Real-time, Sustainable Geo-localization TagsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699382(811-813)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699382
Garg NGhosh ARoy NShu YLiu JTan RHe YChen J(2024)LiTEfoot: Ultra-low-power Localization using Ambient Cellular SignalsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699356(535-548)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699356
Bai YGarg NRoy N(2024)Microstructure-Assisted Vision: Adding New Senses to Low-Power DevicesGetMobile: Mobile Computing and Communications10.1145/3640087.364009327:4(15-20)Online publication date: 8-Jan-2024
https://dl.acm.org/doi/10.1145/3640087.3640093

Index Terms

Sirius: A Self-Localization System for Resource-Constrained IoT Sensors
1. Computer systems organization
  1. Embedded and cyber-physical systems

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cover image ACM Conferences

MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services

June 2023

651 pages

ISBN:9798400701108

DOI:10.1145/3581791

General Chairs:
Petteri Nurmi,
Pan Hui,
Program Chairs:
Ardalan Amiri Sani,
Yunxin Liu

Copyright © 2023 Owner/Author(s).

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Published: 18 June 2023

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Cited By

Garg NGhosh ARoy NShu YLiu JTan RHe YChen J(2024)Poster: Wideband Cellular Sensing for Real-time, Sustainable Geo-localization TagsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699382(811-813)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699382
Garg NGhosh ARoy NShu YLiu JTan RHe YChen J(2024)LiTEfoot: Ultra-low-power Localization using Ambient Cellular SignalsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699356(535-548)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699356
Bai YGarg NRoy N(2024)Microstructure-Assisted Vision: Adding New Senses to Low-Power DevicesGetMobile: Mobile Computing and Communications10.1145/3640087.364009327:4(15-20)Online publication date: 8-Jan-2024
https://dl.acm.org/doi/10.1145/3640087.3640093

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