SCONSTREAM: A Spatial Context Stream Processing System

Abstract

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.