Building a Sensor Grid for Real Time Global Positioning System Data

Abstract

Abstract. We describe the architecture of our streaming sensor grid system. Using a topic-based publish/subscribe methodology, we are able to build a scalable system for managing real-time data streams produced by the California Real Time GPS Network. The architecture is based on atomic, extensible elements called filters that receive, modify, and republish 1 Hz GPS data streams in our deployment. Our filter approach can be extended to include sophisticated data analysis and event detection applications