research-article

Combating interference for long range LoRa sensing

Authors:

Jie XiongAuthors Info & Claims

SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems

Pages 69 - 81

https://doi.org/10.1145/3384419.3430731

Published: 16 November 2020 Publication History

Abstract

Wireless sensing has become a hot research topic recently, enabling a large range of applications. However, due to the intrinsic nature of employing weak target-reflection signal for sensing, the sensing range is limited. Another issue is the strong interference from surroundings and therefore a lot of wireless sensing systems assume there is no interferer in the environment. One recent work explored the possibility of employing LoRa signal for long range sensing which is a favorable step in addressing the first issue. However, the interference issue becomes even more severe with LoRa due to its larger sensing range. In this paper, we propose Sen-fence - a LoRa-based sensing system - to significantly increase the sensing range and at the same time mitigate the interference. With careful signal processing, Sen-fence is able to maximize the movement-induced signal variation in software to increase the sensing range. To address the interference issue, we propose the concept of "virtual fence" to constrain sensing only within the area of interest. The location and size of virtual fence can be flexibly controlled in software to meet the requirements of different applications. Sen-fence is able to (i) achieve a 50 m sensing range for fine-grained human respiration, which is twice the state-of-the-art; and (ii) efficiently mitigate the interference to make LoRa sensing work in practice.

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Cited By

Ge JZhu DSun LHan CGuo J(2024)A Long-Range Signal-Based Target Localization AlgorithmElectronics10.3390/electronics1306106913:6(1069)Online publication date: 14-Mar-2024
https://doi.org/10.3390/electronics13061069
Hou WWu C(2024)RFBoost: Understanding and Boosting Deep WiFi Sensing via Physical Data AugmentationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596208:2(1-26)Online publication date: 15-May-2024
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Sun ZNi TYang HLiu KZhang YGu TXu W(2024)FLoRa+: Energy-efficient, Reliable, Beamforming-assisted, and Secure Over-the-air Firmware Update in LoRa NetworksACM Transactions on Sensor Networks10.1145/364154820:3(1-28)Online publication date: 22-Jan-2024
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Index Terms

Combating interference for long range LoRa sensing
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image ACM Conferences

SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems

November 2020

852 pages

ISBN:9781450375900

DOI:10.1145/3384419

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 16 November 2020

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SenSys '20

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SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems

November 16 - 19, 2020

Virtual Event, Japan

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Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

Ge JZhu DSun LHan CGuo J(2024)A Long-Range Signal-Based Target Localization AlgorithmElectronics10.3390/electronics1306106913:6(1069)Online publication date: 14-Mar-2024
https://doi.org/10.3390/electronics13061069
Hou WWu C(2024)RFBoost: Understanding and Boosting Deep WiFi Sensing via Physical Data AugmentationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596208:2(1-26)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659620
Sun ZNi TYang HLiu KZhang YGu TXu W(2024)FLoRa+: Energy-efficient, Reliable, Beamforming-assisted, and Secure Over-the-air Firmware Update in LoRa NetworksACM Transactions on Sensor Networks10.1145/364154820:3(1-28)Online publication date: 22-Jan-2024
https://dl.acm.org/doi/10.1145/3641548
Yi EZhang FXiong JNiu KYao ZZhang D(2024)Enabling WiFi Sensing on New-generation WiFi CardsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36338077:4(1-26)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3633807
Xie BCui MGanesan DXiong J(2024)Wall MattersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314177:4(1-22)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631417
Mei LYin ZWang SZhou XLing THe T(2024)ECRLoRa: LoRa Packet Recovery under Low SNR via Edge–Cloud CollaborationACM Transactions on Sensor Networks10.1145/360493620:2(1-25)Online publication date: 9-Jan-2024
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Liu BGu CHe SChen J(2024)LoPhy: A Resilient and Fast Covert Channel Over LoRa PHYIEEE/ACM Transactions on Networking10.1109/TNET.2024.339881432:5(3792-3807)Online publication date: Oct-2024
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Fan JPan CZhao GTong XLi KHuang S(2024) RespEnh : A Technique for Enhancing Respiration Sensing in Interference Scenarios With Wi-Fi Signal IEEE Internet of Things Journal10.1109/JIOT.2024.341160511:22(36534-36548)Online publication date: 15-Nov-2024
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Yu FZheng XMa YLiu LMa H(2024)Resolve Cross-Channel Interference for LoRa2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00099(1027-1038)Online publication date: 23-Jul-2024
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Islam KMurray DDiepeveen DJones MSohel F(2024)LoRa-based outdoor localization and tracking using unsupervised symbolizationInternet of Things10.1016/j.iot.2023.10101625(101016)Online publication date: Apr-2024
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