计算机工程与应用2017，Vol.53Issue(24)：263-270,8.DOI:10.3778/j.issn.1002-8331.1706-0228
联合智能优化和分簇CS的WSNs稀疏数据采集
Sparse data acquisition scheme based on intelligent optimization and cluster compressed sensing for WSNs
摘要
Abstract
In order to improve the data processing efficiency and reduce network energy consumption for Wireless Sensor Networks(WSNs), a WSNs sparse data acquisition scheme based on adaptive intelligent optimization and cluster com-pressed sensing is proposed. Firstly, a clustering WSNs sparse data communication model is established. Based on the quantitative analysis of the relationship between node density and total number of hops, the adaptive clustering results are given. Also the data acquisition using observation matrix in cluster and multi hop communication between clusters is used to complete the WSNs compressed sensing data acquisition. Secondly, the StOMP algorithm is used to reconstruct sparse signal. For the network node data packet loss and other unreliable links, the correlation matrix transformation strategy is introduced to reduce the impact of error data transmission on data reconstruction. Aiming at the problem that the data spar-sity is unknown and the parameters of StOMP algorithm are difficult to configure, an Improved Adaptive Intelligent Opti-mization(IAIO)algorithm is introduced to StOMP algorithm. On the basis of theoretical analysis of the global optimization ability of IAIO, reliable reconstruction of sparse data is realized. Finally, the simulation results show that, the scheme can realize the accurate reconstruction of sparse signals, reduce the total amount of network communications, and improve the network lifetime.关键词
无线传感器网络/数据采集/压缩感知/智能优化/稀疏重构算法Key words
Wireless Sensor Networks(WSNs)/data acquisition/Compressed Sensing(CS)/intelligent optimization/sparse reconstruction algorithm分类
信息技术与安全科学引用本文复制引用
陈静..联合智能优化和分簇CS的WSNs稀疏数据采集[J].计算机工程与应用,2017,53(24):263-270,8.基金项目
国家自然科学基金(No.61762071,No.61163025) （No.61762071,No.61163025）
内蒙古自治区自然科学基金(No.2016MS0614) （No.2016MS0614）
内蒙古自治区高等学校科学研究基金(No.NJZY201,No.NJZY17287) （No.NJZY201,No.NJZY17287）
教育部"网络攻防联合实验室建设项目" （）
内蒙古科技大学包头师范学院教改项目(No.BSJG15Q002,No.BSJG15Z002). （No.BSJG15Q002,No.BSJG15Z002）
