Context-aware wireless sensor networks for assisted living and residential monitoring
Abstract
Improving the quality of healthcare and the prospects of "aging in place" using wireless sensor technology requires solving difficult problems in scale, energy management, data access, security, and privacy. We present AlarmNet, a novel system for assisted living and residential monitoring that uses a two-way flow of data and analysis between the front- and back-ends to enable context-aware protocols that are tailored to residents' individual patterns of living. AlarmNet integrates environmental, physiological, and activity sensors in a scalable heterogeneous architecture. The SenQ query protocol provides real-time access to data and lightweight in-network processing. Circadian activity rhythm analysis learns resident activity patterns and feeds them back into the network to aid context-aware power management and dynamic privacy policies.
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AlarmNet collects and analyzes various data streams to monitor a resident's overall wellness, known medical conditions, activities of daily living, and emergency situations.
“It collects and analyzes various data streams to monitor a resident's overall wellness, known medical conditions, activities of daily living, and emergency situations.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [92]
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A review of wearable sensors and systems with application in rehabilitation
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- Authors
- Wood, A. D., Stankovic, J. A., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L., & Stoleru, R.
- Affiliations
- University of Virginia (US)
- Univ. of Virginia, Charlottesville, VA
- Venue
- IEEE Network
- Published
- 2008-07
- Volume
- 22
- Issue
- 4
- Pages
- 26-33
- ISSN
- 0890-8044 (ISSN-L)
- 1558-156X
- OpenAlex
- W2132092437
- Cited by
- 409
- References
- 13
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2023: 10 · 2022: 7 · 2021: 10 · 2020: 13 · 2019: 19 · 2018: 25 · 2017: 34 · 2016: 41 · 2015: 37 · 2014: 43 · 2013: 50 · 2012: 40
- FWCI
- 33.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Network (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Sensor Networks for Data Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wireless sensor networks, assisted living, aging in place, in-network processing, privacy policies, physiological sensors, environmental sensors, activity monitoring
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