文献类型：期刊文献

中文题名：基于压缩感知的链型无线传感器网络节能数据收集

英文题名：Energy-saving data collection based on compressed sensing in chain wireless sensor networks

作者：顾逸宸[1];黄如[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2015

卷号：34

期号：11

起止页码：69

中文期刊名：传感器与微系统

外文期刊名：Transducer and Microsystem Technologies

收录：CSTPCD;;CSCD:【CSCD_E2015_2016】；

基金：国家自然科学基金资助项目(61365005);教育部基本科研业务基金资助项目(WH1315009);国家级大学生创新实践基金资助项目(201410251044;201310251052)

语种：中文

中文关键词：无线传感器网络;压缩感知;节能;链型拓扑

外文关键词：wireless sensor networks（WSNs）; compressed sensing; energy-saving; chain topology

摘要：无线传感器网络(WSNs)中节点受体积、功率、成本等限制而导致了节点能量、生命周期有限的问题。提出一种基于压缩感知算法的无线传感器网络节能优化方法,并结合无线传感器网络中的链型拓扑网络模型,给出基于压缩感知理论的节能网络数据传输模型。通过理论分析比较表明压缩感知方法在节能方面的优越性,然后在得出的网络能耗模型的基础上进行仿真。仿真结果表明:压缩感知方法有效减少了网络能耗。
Node in wireless sensor networks is limited by volume,power,cost,etc,so that energy and lifetime of system are limited. Propose an optimal method based on compressed sensing for energy-saving of wireless sensor networks（ WSNs）,combining chain topology network model,propose energy-saving network data transmission model based on compressed sensing theory. Advantage of compressed sensing method in energy-saving is verified by theoretical analysis and comparison,and then simulate on the basis of energy consumption model of the network. Simulation results show that the compressed sensing method effectively reduces network energy consumption.