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Data compression method and system for wireless sensor network

A wireless sensor and network data technology, applied in the field of data processing, can solve the problems of incompressible large-scale data, limited application range, high computational complexity and high energy consumption, and achieve the effect of reducing data scale and improving application range

Inactive Publication Date: 2016-11-09
SHENZHEN INST OF ADVANCED TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For wireless sensor nodes with very limited hardware resources, the computational complexity and energy consumption are relatively high. Traditional wireless sensor network data compression methods have high computational complexity and energy consumption, and cannot compress large-scale data, such as images and video, etc., so the scope of application is very limited

Method used

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  • Data compression method and system for wireless sensor network
  • Data compression method and system for wireless sensor network
  • Data compression method and system for wireless sensor network

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Embodiment Construction

[0024] In one embodiment, a wireless sensor network data compression method, such as figure 1 As shown, including the following steps:

[0025] Step S120: Obtain the node data of the wireless sensor network, and perform conversion and drawing according to the node data to obtain the original signal. Node data refers to data collected by wireless sensor nodes in a wireless sensor network, which can specifically include images, videos, and other types of data.

[0026] In one embodiment, converting the node data to obtain the original signal in step S120 includes: converting the node data into a step equation, and plotting them in a two-dimensional coordinate system in which the abscissa is the sample number and the ordinate is the signal size. Above, get the step curve diagram as the original signal. Among them, the sampling sequence number identifies the source of the node data.

[0027] The step equation is obtained by transforming the node data, and drawn on the X and Y two-dimen...

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PUM

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Abstract

The invention discloses a data compression method and system for a wireless sensor network. Node data of the wireless sensor network is obtained; and conversion and drawing are carried out according to the node data, thereby obtaining an original signal. Mathematical morphological slicing is carried out on the original signal by employing a horizontal hierarchical slicing algorithm, thereby obtaining slicing data. Cluster analysis is carried out on the slicing data, thereby obtaining a slicing distribution curve of the original signal. According to the method and the system, the mathematical morphological processing is carried out on the waveform of the data collected by the wireless sensor network; the waveform of the original data is converted into the slicing distribution curve without changing the original data; the data scale is reduced; the lossless compression can be carried out on the large-scale data; and the application range is expanded.

Description

Technical field [0001] The present invention relates to the technical field of data processing, in particular to a data compression method and system for a wireless sensor network. Background technique [0002] Wireless Sensor Network (Wireless Sensor Network, WSN) is a wireless network composed of a large number of stationary or moving sensors in a self-organizing and multi-hop manner to cooperatively sense, collect, process and transmit the network to cover the sensed objects in a geographical area Information and ultimately send this information to the owner of the network. Wireless sensor networks are widely used in military, aviation, explosion-proof, disaster relief, environment, medical, healthcare, household, industrial, and commercial fields. [0003] The traditional data compression method of wireless sensor network is mainly based on the compression method of spatio-temporal correlation. It uses the correlation of different attributes and data in different time periods ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L29/08H04W28/06H04W84/18
CPCH04L69/04H04W28/06H04W84/18H04L67/5651
Inventor 吴晓鸰
Owner SHENZHEN INST OF ADVANCED TECH
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