Design And Implementation Of Data Management Subsystem For WSN

In recent years,with the rapid development of sensor technology, communication technology,flushbonading and Distributed Computing Technology, Wireless sensor networks begine to emerge worldwide. The data in the sensor network applications has changed from the traditional static form of files, databases and other static forms to a continuous, unbounded,the speed of uncertain dynamic streaming data, the traditional database management system has been unable to meet the needs of data-stream processing,so develop a stream data processing engine for wireless sensor networks has important practical significance. Also with the emergence and maturity of the wireless sensor networks,the demand for real-time processing a large number of events gradully emerged.Event stream processing need to deal with large data sets and a high degree of mobility, how to handle these data with limited memory is also very important,which produce a lot of new basic research.This article has designed and implemented an event stream processing engine to meet the demands of processing high-speed event streams.The main research work is closely around the design and implementation of the data management subsystem of the wireless sensor network middleware platform system to expand,starting with a research background and research status of wireless sensor networks,and then introduced with wireless sensor networks and middleware concepts and related technologies, and then introduced with wireless sensor networks and middleware concepts and related technologies, such as the data stream, the stream data processing, event stream, event stream processing, compiler-related concepts and technologies, the OSGi framework used by the wireless sensor network data management subsystem of and the Java compiler generation tool JavaCC in a more detailed explanation. After introduced the important concepts and key technologies related to the topic,the article introduced the design and implementation of the data stream processing engine and event stream processing engine in a detailed analysis and elaboration.While given the overall structure of the event stream processing engine,which also presented an event stream processing language and pattern matching language, but also the external filter optimization for event streams by the engine.while Introduce the overall structure of the data management subsystem,which also gives the definition of the streaming data query language, algebraic model and implementation.Finally,the article tests the basic function of the event stream processing module and the data stream processing module of the data management subsystem,the testing results fit in with expectation.