Context-aware wireless sensor networks for assisted living and residential monitoring

被引：189

作者：

Wood, Anthony D. ^{[1
]}

Sgankovic, John A. ^{[1
]}

Virone, Gifles ^{[2
,3
]}

Selavo, Leo ^{[4
]}

He, Zhimin

Cao, Qiuhuo

Doan, Thoo

Wu, Yofeng

Fang, Lei

Stoleru, Radu ^{[5
]}

机构：

[1] Univ Virginia, Dept Comp Sci, Charlottesville, VA 22903 USA

[2] Simon Fraser Univ, Ctr Gerontol Res, Burnaby, BC V5A 1S6, Canada

[3] Univ Virginia, Collaborating Alamnet Project, Charlottesville, VA 22903 USA

[4] Latvian State Univ, Dept Comp Sci, Riga, Latvia

[5] Texas A&M Univ, Dept Comp Sci, College Stn, TX 77843 USA

来源：

IEEE NETWORK | 2008年 / 22卷 / 04期

关键词：

D O I：

10.1109/MNET.2008.4579768

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：26 / 33

页数：8

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