| 基于阈值判决的无线传感器网络混沌信号重构 |
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| 引用本文： | 陈宏滨,冯久超.基于阈值判决的无线传感器网络混沌信号重构[J].西南农业大学学报,2010,32(1). |
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| 作者姓名： | 陈宏滨 冯久超 |
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| 作者单位： | 华南理工大学电子与信息学院;桂林电子科技大学信息与通信学院; |
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| 基金项目： | 国家自然科学基金资助项目(60872123); 国家自然科学基金-广东省自然科学基金联合基金资助项目(U0835001); 桂林电子科技大学科学研究基金资助项目(UF09017Y) |
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| 摘 要： | 考虑在传感器网络中重构混沌信号的问题.各传感器同时观测一个混沌信号.由于带宽受限,各传感器量化观测信号并将量化后的数据发送到融合中心,该中心使用无先导卡尔曼滤波算法重构观测的混沌信号.为了节省能量,只有观测信号信噪比高于某个阈值的传感器被选中并发送数据.定义代价函数关联重构性能和能量消耗,分析并仿真了代价函数和阈值之间的关系.结果表明在某些情况下部分传感器发送数据更合理.
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| 关 键 词： | 混沌信号 无线传感器网络 分布式估计 能效 |
Reconstruction of Chaotic Signals in Wireless Sensor Networks Based on Threshold-Decision |
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| CHEN Hong-bin,FENG Jiu-chao.School of Electronic , Information Engineering,South China University of Technology,Guangzhou ,China,.School of Information , Communications,Guilin University of Electronic Technology,Guilin.Reconstruction of Chaotic Signals in Wireless Sensor Networks Based on Threshold-Decision[J].Journal of Southwest Agricultural University,2010,32(1). |
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| Authors: | CHEN Hong-bin FENG Jiu-chaoSchool of Electronic Information Engineering South China University of Technology Guangzhou China School of Information Communications Guilin University of Electronic Technology Guilin |
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| Institution: | CHEN Hong-bin1,2,FENG Jiu-chao11.School of Electronic , Information Engineering,South China University of Technology,Guangzhou 510641,China,2.School of Information , Communications,Guilin University of Electronic Technology,Guilin 541004 |
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| Abstract: | The problem of reconstructing chaotic signals in wireless sensor networks is considered.All sensors observe a common chaotic signal.Because of the limited bandwidth,the observations are quantized and the quantized data are sent to a fusion center.The fusion center reconstructs the chaotic signals by using the unscented Kalman filtering(UKF) algorithm.To save energy,only the sensors for which the SNR of the observation is higher than a threshold are chosen for transmission.A cost function is defined to relat... |
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| Keywords: | chaotic signal wireless sensor network distributed estimation energy efficiency |
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