| 基于压缩感知的无线传感器网络节点定位算法 |
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| 引用本文： | 赵春晖,许云龙,黄辉.基于压缩感知的无线传感器网络节点定位算法[J].沈阳大学学报,2013(6):454-461. |
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| 作者姓名： | 赵春晖 许云龙 黄辉 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001 |
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| 基金项目： | 国家自然科学基金资助项目（61077079）; 高等学校博士学科点专项基金资助项目（20102304110013）; 黑龙江省自然科学基金资助项目（ZD201216） |
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| 摘 要： | 为了得到有效的、通用的定位算法,提出了两种新的定位算法——基于压缩感知的无线传感器网络节点定位算法（NLCS）及其改进算法（INLCS）.NLCS算法利用压缩感知和加权质心算法进行节点位置估计.提出了伪跳数以改进NLCS算法,提升了算法的定位性能.这两种算法解决定位问题必须满足3个条件,使其更适合于实际应用.仿真结果表明,相对于LSRC和LSVM定位算法,这两种算法有更好的定位性能.
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| 关 键 词： | 压缩感知 无线传感器网络 质心 定位 |
Node Localization Algorithm Based on Compressed Sensing in Wireless Sensing Network |
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| Zhao Chunhui,Xu Yunlong,Huang Hui.Node Localization Algorithm Based on Compressed Sensing in Wireless Sensing Network[J].Journal of Shenyang University,2013(6):454-461. |
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| Authors: | Zhao Chunhui Xu Yunlong Huang Hui |
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| Institution: | (College of Information ＆ Communication Engineering, Harbin Engineering University, Harbin 150001, China) |
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| Abstract: | To obtain efficiency and common localization algorithms,two novel localization algorithms—node localization algorithm based on compressed sensing（NLCS）and its improved algorithm（INLCS）are proposed.NLCS utilizes compressed sensing（CS）and weighted centroid to estimate the location of node.The concept＂pseudo hop count＂is proposed in the new INLCS algorithm,which can enhance localization performance.And NLCS and INLCS solve the localization problem that must satisfy three conditions,so they are more suitable for practical application than other localization algorithms.The simulation results show that NLCS and INLCS have better localization performance than LSRC and LSVM. |
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| Keywords: | compressed sensing wireless sensor network centroid localization |
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