• 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