压缩感知在无线传感网的节能应用综述  

Application of Compressive Sensing in the Energy-Efficient Strategies for the Wireless Sensor Networks: A Review

作　　者：林德钰 郭新明[2] LIN Deyu;GUO Xinming(School of Computing Science and Technology, Xidian University, Xi＇an 710071, Shaanxi;School of Information Engineering, Xianyang Normal University, Xianyang 712000, Shaanxi. China)

机构地区：[1]西安电子科技大学计算机学院,陕西西安710071 [2]咸阳师范学院信息工程学院,陕西咸阳712000

出　　处：《咸阳师范学院学报》2018年第3期5-10,共6页Journal of Xianyang Normal University

摘　　要：分析了无线传感器网络(WSNs)中存在的能量不足问题以及压缩感知理论在WSNs节能策略上的适用性。讨论了压缩感知进行数据获取所需要的三个主要构件。综述了近年来压缩感知理论在WSNs节能策略上的研究进展:Comrepessive Data Gathering框架;基于分簇策略的压缩感知节能策略;其他基于压缩感知的WSNs节能策略以及基于压缩感知的无线传感网节能策略的性能分析。最后,对未来压缩感知理论用于无线传感器网络高能效数据获取的发展方向做出了展望。An analysis was conducted of the energy shortage in wireless sensor network（WSNs）and the applicability of compressed sensing theory in WSNs energy saving strategy. A discussion was made of three main components needed for data acquisition by compressed sensing. A review was conducted of the research progress of compressed sensing theory in WSNs energy saving strategy in recent years： comprehensive Data Gathering framework, compression based energy saving strategy based on cluster strategy, other WSNs based energy saving strategy based on compressed sensing and performance analysis of energy saving strategy based on compressed sensing based wireless sensor network.Finally, an outlook was given on the future development direction of compressed sensing theory for high energy data acquisition in wireless sensor networks.

关 键 词：无线传感器网络 压缩感知 节能策略 分簇策略 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]