SENSORD/Stat: Combining sensor middleware with a statistical computing environment

On developing prototypes of multisensor surveillance systems, it is necessary to apply various types of statistical and numerical computing algorithms in analyzing sensor data. In addition, most of the algorithm implementation includes complex, numerical computing processes. Hence, implementing and applying various algorithms are tiresome tasks by application developers. To save time and manpower on creating the prototypes, we have been developing SENSORD/Stat, an extension of sensor-event-driven service coordination middleware (SENSORD). In the SENSORD/Stat system, SENSORD cooperatively works with R, which is an open source statistical computing and graphic environment. Using both spatio-temporal sensor data management of SENSORD and statistical and numerical analyses of R, developers can rapidly create prototypes of indoor multisensor surveillance systems. In this paper, we show the outline of SENSORD/Stat and a prototype of a room temperature monitoring system as a preliminary result of SENSORD/Stat.