WiSenseHub: Architecture to deploy a building-scale WiFi-sensing system

The smart buildings of the future need to understand the movement and occupancy of the people in the environment. Using cameras to provide this context can be privacy-invasive. Alternatively, installing dedicated hardware to sense the environment can be cost-prohibitive and limit ubiquitous adoption. WiFi-based sensing has hence been championed to provide this building-scale sensing, as it allows for both privacy and is ubiquitously deployed in most buildings. However, industry-translatable research in this space has been challenging as no building-scale systems can provide WiFi sensing data. Consequently, many real-world challenges of deploying these sensing systems remain a mystery. To overcome this veil of mystery, we develop and open-source WiSenseHub, a building-scale WiFi-sensing system. We build our system on commercially available WiFi radios, deploy our backend services to collect data on infinitely scalable AWS cloud or a local server desktop, and build a front-end phone-based interface to collect diverse WiFi sensing data. We deployed multiple WiFi radios in our building and collected data for user devices for over 38 hours.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697313
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
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article

WiSenseHub: Architecture to deploy a building-scale WiFi-sensing system

William Hunter, Dinesh Bharadia, Aditya Arun, Roshan Ayyalasomayajula et al.
Indoor and Outdoor Localization Technologies
article

WiSenseHub: Architecture to deploy a building-scale WiFi-sensing system

William Hunter, Dinesh Bharadia, Aditya Arun, Roshan Ayyalasomayajula, Zhengyu Huang, P.S. Mundra, Prachi Sinha, Dharmi Khadela
article en

Abstract

The smart buildings of the future need to understand the movement and occupancy of the people in the environment. Using cameras to provide this context can be privacy-invasive. Alternatively, installing dedicated hardware to sense the environment can be cost-prohibitive and limit ubiquitous adoption. WiFi-based sensing has hence been championed to provide this building-scale sensing, as it allows for both privacy and is ubiquitously deployed in most buildings. However, industry-translatable research in this space has been challenging as no building-scale systems can provide WiFi sensing data. Consequently, many real-world challenges of deploying these sensing systems remain a mystery. To overcome this veil of mystery, we develop and open-source WiSenseHub, a building-scale WiFi-sensing system. We build our system on commercially available WiFi radios, deploy our backend services to collect data on infinitely scalable AWS cloud or a local server desktop, and build a front-end phone-based interface to collect diverse WiFi sensing data. We deployed multiple WiFi radios in our building and collected data for user devices for over 38 hours.

University of California San Diego (US), University at Buffalo, State University of New York (US), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 80%
Indoor and Outdoor Localization Technologies
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WiSenseHub: Architecture to deploy a building-scale WiFi-sensing system — William Hunter, Dinesh Bharadia, et al. · (2024) | TGRS Research Map | TGRS