Study on sensor networks pattern recognition based on CS and neural network

GONG Jing; CHEN Xiang-dong; SHI Zi-qing

doi:10.13873/j.1000-97872011.12.025

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Study on sensor networks pattern recognition based on CS and neural network

更新时间：2025-09-11

- Study on sensor networks pattern recognition based on CS and neural network
- Vol. 30, Issue 12, Pages: 62-64(2011)
- 作者机构：
  
  西南交通大学信息科学与技术学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.12.025
  CLC： TN929.5;TP183;TP212.9
- Published：2011
- 稿件说明：
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[1]龚静,陈向东,时子青.基于CS和神经网络的传感器网络模式识别研究[J].传感器与微系统,2011,30(12):62-64.

GONG Jing, CHEN Xiang-dong, SHI Zi-qing. Study on sensor networks pattern recognition based on CS and neural network[J]. 2011, 30(12): 62-64.
[1]龚静,陈向东,时子青.基于CS和神经网络的传感器网络模式识别研究[J].传感器与微系统,2011,30(12):62-64. DOI： 10.13873/j.1000-97872011.12.025.

GONG Jing, CHEN Xiang-dong, SHI Zi-qing. Study on sensor networks pattern recognition based on CS and neural network[J]. 2011, 30(12): 62-64. DOI： 10.13873/j.1000-97872011.12.025.

摘要

当前

传感器网络快速地发展

其节点不断增多

需要传输和储存的数据量也就不断增大

同时现有传感器节点尺寸与复杂度限制了传感器网络的数据存储、数据的计算速度及频宽。针对此类问题

将压缩感知技术应用于传感器网络

对传感器网络中传输的数据进行压缩

降低传输数据量

然后在接收端重构数据

将该数据样本作为BP网络的输入进行识别。实验证明:该方法可以提高网络数据存储能力和带宽利用率。

Abstract

At present

with the rapid development of sensor networks and the increasing of nodes

the amount of data which are needed to transmit and store continue to increase.While the size and complexity of the existing sensor nodes limit the data storage

data calculation speed and bandwidth of sensor networks.Aiming at these problems

compressed sensing technology is applied to sensor networks

datas transmitted in sensor networks are compressed to reduce the amount of data transmission

and datas are reconstructed in receiving end

the data samples are recognized as the input of BP network.Experiment proves that this method can improve the capacity of data storage and the bandwidth utilization of network.

关键词

Keywords

references

几种小波基在遥感图像压缩中的应用效果比较 [J]. 赫华颖,陆书宁. 国土资源遥感 . 2008(03)

一种冗余字典下的信号稀疏分解新方法 [J]. 刘丹华,石光明,周佳社. 西安电子科技大学学报 . 2008(02)

基于传感器阵列与神经网络的气体检测系统 [J]. 马戎,周王民,陈明. 传感技术学报 . 2004(03)

Atomic Decomposition by Basis Pursuit [J] . Scott Shaobing Chen,David L. Donoho,Michael A. Saunders. SIAM Review . 2001 (1)

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