Method for collecting compressed data based on kernel function in mobile wireless sensor network

A sensor network, mobile wireless technology, applied in transmission systems, electrical components, etc., can solve the problems of connectivity maintenance, increase the cost of information transmission and communication, etc.

Active Publication Date: 2016-11-16
FUZHOU UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

However, the above two schemes often encounter the following problems when deployed: First, the tree or cluster-based methods need to maintain the topology of the entire network, ...

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  • Method for collecting compressed data based on kernel function in mobile wireless sensor network
  • Method for collecting compressed data based on kernel function in mobile wireless sensor network
  • Method for collecting compressed data based on kernel function in mobile wireless sensor network

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] The present invention provides a kind of compression data collection method based on kernel function in mobile wireless sensor network, it is characterized in that, comprises the following steps:

[0032] Step S01: collecting data of sensor nodes based on random walk algorithm;

[0033] Step S02: designing a random measurement matrix according to the random walk algorithm;

[0034] Step S03: designing a sparse representation matrix;

[0035] Step S04: Perform compressed sensing recovery on the sensor node data collected in step S01 according to the random measurement matrix and the sparse representation matrix.

[0036] Further, please refer to figure 1 , the specific content of the step S01 is as follows:

[0037] Step S11: The mobile node C randomly selects a node i to visit, and initializes the random walk length t=0; then the mobile node ...

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Abstract

This invention relates to a method for collecting compressed data based on a kernel function in a mobile wireless sensor network. The method comprises the steps of: step S01, collecting data of sensor nodes based on a random walk algorithm; step S02, according to the random walk algorithm, designing a random measurement matrix; step S03, designing a sparse representation matrix; and step S04, according to the random measurement matrix and the sparse representation matrix, performing compression perception recovery to the collected data of the sensor node. By adoption of the invention, the data collecting efficiency is improved; the node energy consumption is reduced; the time for collecting the data is reduced; the reliability for collecting the data is improved; and the life cycle of the network is further prolonged.

Description

technical field [0001] The invention relates to a compressed data collection method based on a kernel function in a mobile wireless sensor network. Background technique [0002] In the past few years, large-scale wireless sensor networks have been widely used in various applications, such as environmental monitoring, intelligent transportation, and security surveillance. A wireless sensor network is usually composed of a large number of sensor nodes, which collect data and transmit it to the sink node through routing. If it is impractical for the sensor nodes to directly transmit the collected raw data, it will consume a lot of energy and also reduce the life cycle of the sensor network; and when the data transmission is carried out by routing, it is easy to cause the so-called bottleneck Effect, that is, the sensor nodes around the sink node are the first to consume energy due to the need to transmit more data. Since the sensor data has a certain time-space correlation, s...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/5651
Inventor 郑海峰李家印冯心欣陈忠辉
Owner FUZHOU UNIV
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