CrossSense : towards cross-site and large-scale WiFi sensing
- Submitting institution
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The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 244759445
- Type
- E - Conference contribution
- DOI
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10.1145/3241539.3241570
- Title of conference / published proceedings
- The 24th ACM International Conference on Mobile Computing and Networking (MobiCom)
- First page
- 305
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- October
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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D - Distributed Systems
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work published in the flagship CORE A* Mobicom conference enables WiFi sensing, a promising technology that underpins many future innovative applications in smart homes and offices, to scale up to new environments and larger problems. It boosts the accuracy of state-of-the-art solutions by 4x and recent papers are using the techniques presented in the paper as a baseline for comparison. This work has led to follow up publications in leading venues: IEEE Infocom, IEEE Internet Computing, ICDCS, SenSys and helped establish industrial connections, and research collaborations that have resulted in grant applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -