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Demo Abstract: Accessible WiFi sensing leveraging Robot Operating System

Published:09 May 2023Publication History

ABSTRACT

RF signals can be leveraged for many sensing and monitoring tasks in industrial, home, or robot applications. Despite the advantages of leveraging WiFi sensing modality, no versatile WiFi sensors are available. We develop WiROS to address this immediate need. We leverage the robot operating system (ROS) framework to expose real-time WiFi sensing information to an end-user. Specifically, we demonstrate a plug-and-play toolbox providing access to coarse-grained WiFi signal strength (RSSI), fine-grained WiFi channel state information (CSI), and other MAC-layer information (device address, packet id’s or frequency-channel information). Additionally, we opensource state-of-art algorithms to calibrate and process WiFi measurements to intuitively visualize/debug measurements and measure signal path parameters like the signal’s angles of arrival or departure.

The open-sourced repository is https://github.com/ucsdwcsng/WiROS.

References

  1. March 2023. Asus RT-AC68U router. https://www.asus.com/us/networking-iot-servers/wifi-routers/asus-wifi-routers/rtac68u/ Accessed: 2022-03-23.Google ScholarGoogle Scholar
  2. Zhikui Chen, Feng Xia, Tao Huang, Fanyu Bu, and Haozhe Wang. 2013. A localization method for the Internet of Things. The Journal of Supercomputing 63 (2013), 657–674.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Wei Gong and Jiangchuan Liu. 2019. RoArray: Towards More Robust Indoor Localization Using Sparse Recovery with Commodity WiFi. IEEE Transactions on Mobile Computing 18, 6 (jun 2019), 1380–1392. https://doi.org/10.1109/TMC.2018.2860018Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Francesco Gringoli, Matthias Schulz, Jakob Link, and Matthias Hollick. 2019. Free your CSI: A channel state information extraction platform for modern Wi-Fi chipsets. In Proceedings of the 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization. 21–28.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Daniel Halperin, Wenjun Hu, Anmol Sheth, and David Wetherall. 2011. Tool release: Gathering 802.11 n traces with channel state information. ACM SIGCOMM Computer Communication Review 41, 1 (2011), 53–53.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Ninad Jadhav, Weiying Wang, Diana Zhang, Oussama Khatib, Swarun Kumar, and Stephanie Gil. 2020. WSR: A WiFi sensor for collaborative robotics. arXiv preprint arXiv:2012.04174 (2020).Google ScholarGoogle Scholar
  7. Yaxiong Xie, Zhenjiang Li, and Mo Li. 2015. Precise Power Delay Profiling with Commodity WiFi. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (Paris, France) (MobiCom ’15). ACM, New York, NY, USA, 53–64. https://doi.org/10.1145/2789168.2790124Google ScholarGoogle ScholarDigital LibraryDigital Library

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            • Published in

              cover image ACM Conferences
              IPSN '23: Proceedings of the 22nd International Conference on Information Processing in Sensor Networks
              May 2023
              385 pages
              ISBN:9798400701184
              DOI:10.1145/3583120

              Copyright © 2023 Owner/Author

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              Association for Computing Machinery

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              Publication History

              • Published: 9 May 2023

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