计算机工程2012，Vol.38Issue(20)：68-71,4.DOI:10.3969/j.issn.1000-3428.2012.20.018
WSN中基于压缩感知的数据收集方案
Data Gathering Scheme Based on Compressive Sensing in Wireless Sensor Networks
张明 1朱俊平 1蔡骋1
作者信息
- 1. 西北农林科技大学信息工程学院计算机科学系,陕西杨陵712100
- 折叠
摘要
Abstract
Data collection in Wireless Sensor Network(WSN) research is the basic problem. This paper presents a data collection solution based on compressive sensing technique and mobile data collector. The regional scope of the incident is calculated by the analysis of spatial correlation of data, and a clustering algorithm is proposed based on residual energy of the nodes to carve up the region events. On this basis, each node senses the original data, based on the theory of compressed sensing. The data is sparse representation and observations by adopting Gaussian Random Matrix(GRM), and its observations are sent and stored in its cluster head, when a mobile collector enters the cluster head communication range, achieving the' data collection. Theoretical analysis and simulation experimental results show that this scheme is energy efficient, and can effectively extend the network lifetime.
关键词
无线传感器网络/数据收集/压缩感知/空间相关性/稀疏表示/生命周期Key words
Wireless Sensor Network(WSN)/ data gathering/ compressive sensing/ spatial correlation/ sparse representation/ lifetime分类
信息技术与安全科学引用本文复制引用
张明,朱俊平,蔡骋..WSN中基于压缩感知的数据收集方案[J].计算机工程,2012,38(20):68-71,4.
