Method and system for wireless sensor network data compression and reconstruction based on symbol aggregation approximation

Abstract

The present invention discloses a wireless sensor network data compression and reconstruction method and system based on symbol aggregation and approximation. The method includes the following steps: S1. Obtain the data formed by the monitoring data collected by each node in the wireless sensor network within the data sliding window Time series, standardize the sequence to obtain a standardized sequence; S2, reduce the dimensionality of the obtained standardized sequence, and symbolize the mean value of each time series sub-segment to obtain a SAX symbol sequence; S3, judge a single node through time correlation Whether to suppress the sending process of the SAX symbol sequence at the current moment; suppress the sending of redundant information through spatial correlation between different nodes; S4, when each node in a cycle has completed the spatio-temporal correlation suppression process, and the receiving end ends The current round of data collection is completed, and the data not transmitted by the node is recovered. The invention can greatly save the energy and communication bandwidth of the wireless sensor network, and prolong the working life cycle of the battery-powered wireless sensor network.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method and system for compressing and reconstructing wireless sensor network data based on symbol aggregation and approximation. Background technique [0002] Wireless Sensor Networks (WSN for short) is the mainstream form of future network development, and has become a new scientific research field in this century. There are many urgent problems that need to be solved at the two levels of basic theory and engineering technology. The wireless sensor network has low cost, low power consumption, and large-scale ad hoc network; the sensor nodes are small in size, battery-powered, and flexible in deployment; and they can adapt to harsh environments where monitoring is difficult for manpower; Monitoring capabilities for disaster prevention. [0003] WSN sensor nodes are usually powered by micro-batteries, and the energy is severely limited. At the same time, the inc...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a wireless sensor network data compression based on symbol aggregation approximation that suppresses redundant information transmission according to time-space correlation in order to solve the defect of relatively large information transmission redundancy in wireless sensor networks in the prior art and reconstruction method and system

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