A Kind of Compressed Sensing Clustering Algorithm for Wireless Sensor Network

CAO Yu-xiao; QIAN Ying; HAN Lei; YU Xiang

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A Kind of Compressed Sensing Clustering Algorithm for Wireless Sensor Network

更新时间：2026-09-04

- A Kind of Compressed Sensing Clustering Algorithm for Wireless Sensor Network
- Vol. 32, Issue 11, Pages: 59-63(2015)
- 作者机构：
  
  南京工程学院机构计算机工程学院,江苏,南京,211167
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
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曹欲晓, 钱瑛, 韩磊, 俞翔. 一种压缩感知的无线传感器网络分簇算法[J]. 微电子学与计算机, 2015, 32(11): 59-63.

CAO Yu-xiao, QIAN Ying, HAN Lei, et al. A Kind of Compressed Sensing Clustering Algorithm for Wireless Sensor Network[J]. 2015, 32(11): 59-63.
曹欲晓, 钱瑛, 韩磊, 俞翔. 一种压缩感知的无线传感器网络分簇算法[J]. 微电子学与计算机, 2015, 32(11): 59-63. DOI：

CAO Yu-xiao, QIAN Ying, HAN Lei, et al. A Kind of Compressed Sensing Clustering Algorithm for Wireless Sensor Network[J]. 2015, 32(11): 59-63. DOI：

摘要

当前WSN分簇算法

主要从优化节点间拓扑关系的角度出发进行协议设计

没有考虑通过减少网络中传输的数据量来延长WSN的生存时间.新兴的压缩感知算法可以通过在前端进行简单的运算来大幅度地压缩原始数据.由此提出一种压缩感知的WSN分簇算法CSCA.首先根据最优簇数目对WSN进行区域划分

然后由基站根据节点参数选出簇头并成簇.WSN在进行数据传输时

簇中节点对监测数据在感知矩阵上投影之后发送给簇头

簇头对各节点的数据做差之后再进行一次投影之后发送给基站.仿真实验证明

CSCA算法由于减少了网络内的数据流量从而有效地降低了节点的能耗

延长了WSN的生存时间.

Abstract

At present the emphasis of WSNs clustering algorithm is to optimize the topotaxy of nodes in WSN

and it is not considered to prolong the WSNs lifetime by decresing the data flow in network.New compressed sensing algorithm may compress original data in vast scale by simple operation at front-end. A kind of compressed sensing clustering algorithm named CSCA is put forward.Firstly the WSNs area is divided into several sections which number equals to the best cluster numer.Secondly the base station selects cluster head according to related parameter and the cluster is made up. When transporting data node projects monitoring data on sensing matrix and sends projection data to cluster head.Then cluster head subtracts nodes projection data and projects the difference.Lastly the cluster heads projecton data is sent to base station.The emulation result proves that CSCA can decrease nodes energy cost and prolong the WSNs lifetime obvisiouly.

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