SCONSTREAM: A Spatial Context Stream Processing System

Data streams from sensors are widely used in many applications of ubiquitous computing environments. In particular, spatial data streams from sensors are useful in context-awareness for many types of applications. However, an important gap is found between spatial data stream management and spatial context-awareness. While spatial data streams from sensors should be handled in real-time, spatial context-awareness often requires complicated analysis and expensive processing cost. For this reason, it is difficult to integrate spatial data stream processing and context-awareness. In this paper, we present a system called SCONSTREAM (Spatial CONtext STREAm Management) that we have developed to resolve the gap between spatial data stream and context-awareness. The key approach of our system is to convert spatial data streams from sensors to spatial context streams, which are smaller and more suitable to be processed by the context-awareness module than raw data from sensors. By SCONSTREAM, we resolved the gap and achieved the integration of spatial data processing and spatial context-awareness module.