Method and system for compressing and reconstructing data of wireless sensor network based on symbolic aggregate approximation

Abstract

The invention discloses a method and system for compressing and reconstructing data of a wireless sensor network based on symbolic aggregate approximation. The method comprises the following steps of: S1, obtaining a time sequence formed by the monitoring data in a data sliding window acquired by various nodes of the wireless sensor network, and standardizing the sequence to obtain a standardized sequence; S2, reducing the dimensionality of the obtained standardized sequence, and signifying the mean value of various time sequence sub-segments to obtain a SAX symbol sequence; S3, judging whether single node inhibits the SAX symbol sequence sending process in the present time through the time correlativity or not, and inhibiting sending of redundant information through the spatial correlativity among different nodes; and S4, recovering data, which is not transmitted by the nodes, when various nodes in one period complete the spatial correlativity inhibiting process and the receiving end finishes acquisition of current data. By means of the invention, the energy and the communication bandwidth of the wireless sensor network can be greatly saved; and the work life period of the wireless sensor network, the power of which is supplied through a battery, is prolonged.

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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