| 基于分布式压缩感知的能量收集WSNs |
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| 引用本文： | 汪鲁才 赵延昇 林海军等. 基于分布式压缩感知的能量收集WSNs[J]. 传感器与微系统, 2014, 0(7): 45-48 |
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| 作者姓名： | 汪鲁才 赵延昇 林海军等 |
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| 作者单位： | 湖南师范大学工程与设计学院电子系; |
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| 基金项目： | 国家自然科学基金青年基金资助项目(51205127) |
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| 摘 要： | 针对无线传感器网络（WSNs）通信功耗和带宽要求高,引起节点寿命短的缺陷,利用WSNs节点感知数据的空间相关性和联合稀疏模型,结合分布式压缩感知（DCS）算法,提出了从能源收集的角度来分析对WSNs数据的压缩重构。通过理论和实验仿真表明：基于DCS的WSNs,在能源平衡方面具有很大的优势,在保证重构信号精确度的前提下大大提高了能源的有效利用率。
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| 关 键 词： | 无线传感器网络 联合稀疏模型 分布式压缩感知 能源收集 |
Energy harvesting WSNs based on DCS |
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| WANG Lu-cai;ZHAO Yan-sheng;LIN Hai-jun;LIU Guo-feng. Energy harvesting WSNs based on DCS[J]. Transducer and Microsystem Technology, 2014, 0(7): 45-48 |
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| Authors: | WANG Lu-cai ZHAO Yan-sheng LIN Hai-jun LIU Guo-feng |
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| Affiliation: | WANG Lu-cai;ZHAO Yan-sheng;LIN Hai-jun;LIU Guo-feng(Department of Electronic Engineering,College of Engineering and Design,Hunan Normal University) |
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| Abstract: | Aiming at wireless sensor networks（ WSNs） communication power consumption and high bandwidth requirements,which result in disadvantage of short life of nodes,by using WSNs nodes spatial correlation and joint sparse models,combined with the distributed compressed sensing（ DCS） algorithm,an energy harvesting method is proposed to analyze the compression and reconstruction of datas in WSNs.The theoretical and experimental results show that the WSNs based on DCS,has great advantages in energy balance,on the guarantee of accuracy of reconstruction signal,it greatly improves effective utilization of energy. |
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| Keywords: | wireless sensor networks（WSNs） joint sparse model distributed compressed sensing（DCS） energy harvesting |
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