ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring

Report
Authors:Wood, A, Department of Computer ScienceUniversity of Virginia Virone, G, Department of Computer ScienceUniversity of Virginia Doan, T, Department of Computer ScienceUniversity of Virginia Cao, Q, Department of Computer ScienceUniversity of Virginia Selavo, Leo, Department of Computer ScienceUniversity of Virginia Wu, Y, Department of Computer ScienceUniversity of Virginia Fang, L, Department of Computer ScienceUniversity of Virginia He, Z, Department of Computer ScienceUniversity of Virginia Lin, S, Department of Computer ScienceUniversity of Virginia Stankovic, Jack, Department of Computer ScienceUniversity of Virginia
Abstract:

We describe ALARM-NET, a wireless sensor network for assisted-living and residential monitoring. It integrates envi- ronmental and physiological sensors in a scalable, heteroge- neous architecture. A query protocol allows real-time col- lection and processing of sensor data by user interfaces and back-end analysis programs. One such program determines circadian activity rhythms of residents, feeding activity in- formation back into the sensor network to aid context-aware power management, dynamic privacy policies, and data as- sociation. Communication is secured end-to-end to protect sensitive medical and operational information.
The ALARM-NET system has been implemented as a network of MICAz sensors, stargate gateways, iPAQ PDAs, and PCs. Customized infrared motion and dust sensors, and integrated temperature, light, pulse, and blood oxygenation sensors are present. Software components include: TinyOS query processor and security modules for motes; AlarmGate, an embedded Java application for managing power, privacy, security, queries, and client connections; Java resident mon- itoring and sensor data querying applications for PDAs and PCs; and a circadian activity rhythm analysis program.
We show the correctness, robustness, and extensibility of the system architecture through a scenario-based evaluation of the integrated ALARM-NET system, as well as perfor- mance data for individual software components.

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

Wood, A, G Virone, T Doan, Q Cao, Leo Selavo, Y Wu, L Fang, Z He, S Lin, and Jack Stankovic. "ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring." University of Virginia Dept. of Computer Science Tech Report (2006).

Publisher:
University of Virginia, Department of Computer Science
Published Date:
2006