A Distributed Publish/Subscribe System for Large Scale Sensor Networks

As sensor and wireless network technologies are developed, it is expected that we will be able to gather lots of sensor data from various sensors on globe. Combining/ aggregating these sensor data, many useful applications could be developed. However, it is difficult to aggregate sensor data and secure scalability, because in some case too much sensor data concentrate on some specific nodes. Then, we add data processing components onto content-based networks, considering division and reassign of processing components. Content-based networks provide publish/ subscribe system in distributed environment and appropriate for notifications and alerts. If content-based networks process published data and create meaningful information, this system enhance the application fields in ubiquitous sensing environment. In this paper, we model sensor data calculation process and describe how to add data processing components onto content-based networks. On the contrary, data processing components causes concentrations of sensor data. We also describe load distribution mechanism of these components. Performance evaluations of our implementation shows that load distribution mechanism works well, and proposed system secure the scalability by adding data components.