Spatio-temporal sensor data management for context-aware services
Akio Sashima, Yutaka Inoue, Koichi Kurumatani · 2006
How various kinds of sensor devices are handled, and how numerous lower-level sensor data are managed and integrated into higher-level context representations are important issues to realize context-aware services. We have been developing Sensor-Event-Driven Service Coordination Middleware (SENSORD) to fill coordination gaps between higher-level services and lower-level sensors. The SENSORD system obtains and stores sensor data into an in-memory data container to achieve fast, complex analysis of the sensed data. The facility of real-time analysis, which includes periodical evaluations of spatio-temporal conditions, enables application developers to outsource context-aware mechanisms. As described in this paper, we first examine middleware of context-aware services and our approaches. We then show the outline of SENSORD and an exemplary application: an indoor emergency response system in our laboratories. Preparing for emergency situations, such as fire emergencies, it manages sensor devices (thermometers, hygrometers, vision systems, microphone arrays, etc.) to detect emergent situations.