DocumentCode :
818773
Title :
Context-aware wireless sensor networks for assisted living and residential monitoring
Author :
Wood, Anthony D. ; Stankovic, John A. ; Virone, Gilles ; Selavo, Leo ; He, Zhimin ; Cao, Qiuhua ; Doan, Thao ; Wu, Yafeng ; Fang, Lei ; Stoleru, Radu
Author_Institution :
Univ. of Virginia, Charlottesville, VA
Volume :
22
Issue :
4
fYear :
2008
Firstpage :
26
Lastpage :
33
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.
Keywords :
biomedical communication; data privacy; geriatrics; health care; monitoring; protocols; security of data; wireless sensor networks; AlarmNet; aged people; assisted living; circadian activity rhythm analysis; context-aware protocol; data access; data privacy; data security; energy management; health care; residential monitoring; wireless sensor network; Access protocols; Aging; Biomedical monitoring; Communication system security; Data privacy; Data security; Energy management; Medical services; Pattern analysis; Wireless sensor networks;
fLanguage :
English
Journal_Title :
Network, IEEE
Publisher :
ieee
ISSN :
0890-8044
Type :
jour
DOI :
10.1109/MNET.2008.4579768
Filename :
4579768
Link To Document :
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