Real-time sink node architecture for active healthcare USN with service robots

This paper proposes a real-time sink node system architecture for healthcare USN with a mobile service robot, which provides active service for elderly persons. Embedded sensors in USN monitor periodically user's mental and physical condition and transfer logged data to the sink node on main controller of a mobile robot through wireless channel where data analysis is performed. For the purpose of handling emergency situations, it needs real-time processing on gathering variety sensor data, routing for sensor networks to a moving sink node and processing of logged data. This paper realized multi-hop sensor network for biometric data transmission and performed algorithms on XENOMAI, a real-time embedded Linux. In order to verify the usefulness of the proposed system, performance of data transferring and processing on a real-time OS is also evaluated.