Efficient processing system and method for sensor network multi-data stream

Abstract

The invention discloses a high-efficiency processing system and method for sensor network multi-data stream. The method includes the following steps: Step 1: According to the inherent characteristics of the sensor network, dynamically construct an aggregation tree in time sequence, The data stream is constructed into an aggregated XML data stream; Step 2: Reuse the existing XML stream processing method to process multiple data streams uniformly at the same time. Aiming at the multi-data stream of the sensor network, the invention constructs a multi-data stream aggregator according to the inherent characteristics of the sensor network, constructs a plurality of related data streams into an aggregated XML data stream, and can reuse the existing XML stream processing method At the same time, the unified processing of multiple data streams can effectively save computing resources and reduce a large number of intermediate processing results. The aggregation tree is dynamically constructed according to the time sequence, which can effectively deal with the problem of out-of-order tuples in the same data stream. The experimental results compared with the Stanford streaming data management system show that the performance of the method is significantly improved when the number of data streams is large.

Description

technical field [0001] The invention relates to the field of sensor network-oriented stream data processing, in particular to a sensor network-oriented multi-data stream efficient processing system and method. Background technique [0002] Different from previous database management systems, stream data processing systems emphasize the online arrival of data and persistent storage of queries. It continuously receives data streams and uses memory-based, single-pass stream processing algorithms to process the data streams in real-time to obtain valuable results. In sensor networks, it is often necessary to process multiple correlated data streams at the same time. [0003] Among the stream processing methods oriented to multiple data streams, the relationship-based method is the main method in the past, and optimizing the JOIN operation can improve the efficiency of processing multiple data streams with dependencies. This approach handles multiple data streams such as figur...

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However, this type of method cannot effectively solve the above problems

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