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WiFiMon: a mobility analytics platform for building occupancy monitoring and contact tracing using wifi sensing: poster abstract

Authors:

Prashant ShenoyAuthors Info & Claims

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

Pages 792 - 793

https://doi.org/10.1145/3384419.3430598

Published: 16 November 2020 Publication History

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Abstract

With the current COVID-19 pandemic, contact tracing and building occupancy tracking are key components of re-opening policies and quickly containing virus outbreaks. WiFiMon is a network-centric contact tracing method that uses enterprise WiFi networks logs for tracking devices and inferring building occupancy and building contact tracing reports in office and campus settings.

We have built WiFiMon on an analytics platform that leverages the popular open source ELK stack (Elasticsearch, Logstash and Kibana) to process syslog data at large scale and offer users dashboards to quickly monitor building occupancy and generate contract tracing reports.

WiFiMon has been deployed at several UMass campuses gathering daily data from over 5,000 WiFi access points and tens of thousands of users. Our software is freely available for anyone to use and can be found at https://github.com/umassos/elastic-wifitrace.

References

[1]

Joel Hellewell et al. 2020. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. The Lancet Global Health (2020)

Google Scholar

[2]

Amee Trivedi, Camellia Zakaria, Rajesh Balan, Prashant Shenoy, 2020. WiFiMon: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing, arXiv:2005.12045.

Google Scholar

[3]

Dheryta Jaisinghani, et al. 2018. Experiences & Challenges with Server-Side WiFi Indoor Localization Using Existing Infrastructure. In Proceedings of the 15th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous New York City, NY, Henning Schulzrinne and Pan Li (Eds.). 226--235

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Cited By

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Salman MCaceres-Najarro LSeo YNoh Y(2024)WiSOM: WiFi-enabled self-adaptive system for monitoring the occupancy in smart buildingsEnergy10.1016/j.energy.2024.130420294(130420)Online publication date: May-2024
https://doi.org/10.1016/j.energy.2024.130420
Yang SKim KJeong HLee SKim J(2023)IntelliTrace: Intelligent Contact Tracing Method Based on Transmission Characteristics of Infectious DiseaseApplied System Innovation10.3390/asi60601126:6(112)Online publication date: 23-Nov-2023
https://doi.org/10.3390/asi6060112
Torun MMostofi Y(2023)Wi-FlexProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109307:3(1-27)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610930
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Index Terms

WiFiMon: a mobility analytics platform for building occupancy monitoring and contact tracing using wifi sensing: poster abstract
1. Information systems
  1. Information systems applications
    1. Mobile information processing systems

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

November 2020

852 pages

ISBN:9781450375900

DOI:10.1145/3384419

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 16 November 2020

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

November 16 - 19, 2020

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Salman MCaceres-Najarro LSeo YNoh Y(2024)WiSOM: WiFi-enabled self-adaptive system for monitoring the occupancy in smart buildingsEnergy10.1016/j.energy.2024.130420294(130420)Online publication date: May-2024
https://doi.org/10.1016/j.energy.2024.130420
Yang SKim KJeong HLee SKim J(2023)IntelliTrace: Intelligent Contact Tracing Method Based on Transmission Characteristics of Infectious DiseaseApplied System Innovation10.3390/asi60601126:6(112)Online publication date: 23-Nov-2023
https://doi.org/10.3390/asi6060112
Torun MMostofi Y(2023)Wi-FlexProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109307:3(1-27)Online publication date: 27-Sep-2023
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Guizzo AVezzani ABarontini ARusso FValenti CMamei MBurioni R(2022)Simplicial temporal networks from Wi-Fi data in a university campus: The effects of restrictions on epidemic spreadingFrontiers in Physics10.3389/fphy.2022.101092910Online publication date: 25-Oct-2022
https://doi.org/10.3389/fphy.2022.1010929
Cárcamo-Ulloa LMellado CBlaña-Romero CSáez-Trumper D(2022)Galileo, a data platform for viewing news on social networksEl Profesional de la información10.3145/epi.2022.sep.12Online publication date: 3-Oct-2022
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Gu ZHe TWang ZXu Y(2022)Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi SignalsWireless Communications and Mobile Computing10.1155/2022/45984602022(1-14)Online publication date: 28-Jun-2022
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Li GHu SZhong STsui WChan S(2022)vContact: Private WiFi-Based IoT Contact Tracing With Virus LifespanIEEE Internet of Things Journal10.1109/JIOT.2021.31002769:5(3465-3480)Online publication date: 1-Mar-2022
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Yi FXie YJamieson K(2021)Invited Paper: The Case for Small-Scale, Mobile-Enhanced COVID-19 Epidemiology2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)10.23919/WiOpt52861.2021.9589290(1-6)Online publication date: 18-Oct-2021
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Li XXu HHuang XGuo CKang YYe X(2021)Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challengesComputational Urban Science10.1007/s43762-021-00022-x1:1Online publication date: 26-Sep-2021
https://doi.org/10.1007/s43762-021-00022-x

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