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.
Authors
- William Hunter (ORCID: https://orcid.org/0009-0000-9973-4132)
- Dinesh Bharadia (ORCID: https://orcid.org/0000-0002-3518-4722)
- Aditya Arun (ORCID: https://orcid.org/0000-0002-5686-0179)
- Roshan Ayyalasomayajula (ORCID: https://orcid.org/0000-0002-4069-8429)
- Zhengyu Huang (ORCID: https://orcid.org/0009-0007-1498-8645)
- P.S. Mundra
- Prachi Sinha
- Dharmi Khadela
Institutions
- University of California San Diego (US)
- University at Buffalo, State University of New York (US)
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1145/3636534.3697313
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00