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Method for compressing wavelet progressive data of wireless sensor network

A wireless sensor, data compression technology, applied in transmission systems, electrical components, code conversion and other directions, can solve the wavelet transform boundary effect, the total amount of storage capacity sensor data does not match and other problems

Inactive Publication Date: 2009-01-21
HUNAN UNIV
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Problems solved by technology

[0006] Based on the existing technology, the purpose of the present invention is to provide a wavelet progressive data compression method for wireless sensor networks, which can solve the problem that the cluster head storage capacity does not match the total amount of sensor data in wireless sensor networks, and the wavelet transform band Here comes the problem of boundary effects

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  • Method for compressing wavelet progressive data of wireless sensor network
  • Method for compressing wavelet progressive data of wireless sensor network
  • Method for compressing wavelet progressive data of wireless sensor network

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Embodiment Construction

[0023] When the first-level wavelet transform is used in this embodiment, the storage conditions of the cluster heads are as follows: figure 2 shown, where D n Work node S in the cluster n The transmitted data, L is the support length of the wavelet function.

[0024] The specific implementation is as follows:

[0025] Firstly, the memory of the cluster head is divided into three parts, which are called filter buffer, boundary extension buffer and wavelet coefficient buffer respectively. Among them, the filter cache is used to store the sensing data or wavelet coefficients needed to increase the level of wavelet decomposition; the boundary extension cache is used to store the sensing data cached to deal with the boundary effect problem; the wavelet coefficient cache is used to store the wavelet coefficient. i.e. Matrix_f 1 , Matrix_f- 2 ,...,Matrix_f K It is stored in the filter buffer, Matrix_e is stored in the boundary extension buffer, and the data unit Matrix_w for...

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Abstract

The invention discloses a wavelet progressive data compression method, which is used in the wireless sensor network. A cluster head carries out the wavelet transformation and generates the wavelet coefficient while receiving the sensor data; when the wavelet coefficient reaches one data unit, the cluster head carries out the coding compression and transmits the coding compression result, the wavelet coefficient continuously generated by the cluster head forms the next one data unit, the operation is circularly carried out for forming the progressive data compression transmission. The invention solves the problem of the mismatching between the cluster head storage capacity and the sensor data quantity in the wireless sensor network, and the boundary effect brought by the wavelet transformation. The invention is suitable for the sensor network model based on the clustering.

Description

technical field [0001] The invention relates to a data compression method, in particular to a wavelet progressive data compression method for a wireless sensor network. Background technique [0002] Wireless sensor networks (WSN, wireless sensor networks) is currently attracting international attention, involving a highly interdisciplinary and highly integrated knowledge frontier research field. It integrates sensor technology, embedded computing technology, modern network and wireless communication technology, distributed information processing technology, etc., and can sense and monitor objects in real time and collect corresponding data through various integrated micro-sensors. These data are transmitted to the base station (called Sink node) in a multi-hop network mode, and handed over to the user for further processing. In order to save energy in the sensor network, some nodes are in a dormant state and do not participate in receiving and sending data, which are called...

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Application Information

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IPC IPC(8): H04L29/08H04L29/06H03M7/30
Inventor 林亚平周四望胡玉鹏叶松涛章健军谢智德
Owner HUNAN UNIV
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