| 基于神经网络的无线传感器网络数据融合算法_cg10000147修改稿 |
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| 引用本文： | 孙凌逸,黄先祥,蔡伟,夏梅尼.基于神经网络的无线传感器网络数据融合算法_cg10000147修改稿[J].传感技术学报,2011,24(1):122-127. |
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| 作者姓名： | 孙凌逸 黄先祥 蔡伟 夏梅尼 |
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| 作者单位： | 第二炮兵工程学院202室;中国空间技术研究院西安分院; |
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| 摘 要： | 为减少无线传感器网络的通信量,降低能量消耗,设计了一种基于神经网络的数据融合算法(BPNDA),该算法将BP神经网络和传感器网络分簇路由协议有机结合,将每个簇设计成一个神经网络模型,通过神经网络提取原始数据中的少量特征数据,然后将特征数据发送给汇聚节点,从而提高数据收集效率,延长网络生存时间。仿真实验证明,与LEACH算法相比,该算法可有效减少网络通信量,降低节点能耗。
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| 关 键 词： | 无线传感器网络 数据融合 神经网络 分簇 |
Data Aggregation of Wireless Sensor Networks Using Artificial Neural Networks |
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| SUN Lingyi,HUANG Xianxiang,CAI Wei,XIA Meini.Data Aggregation of Wireless Sensor Networks Using Artificial Neural Networks[J].Journal of Transduction Technology,2011,24(1):122-127. |
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| Authors: | SUN Lingyi HUANG Xianxiang CAI Wei XIA Meini |
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| Affiliation: | SUN Lingyi1,HUANG Xianxiang1,CAI Wei1,XIA Meini21.The Second Artillery Engineering Institute,Xi'an 710025,China,2.China Academy of Space Technology(Xi'an),Xi'an 710100 |
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| Abstract: | To reduce communication traffic and save energy for wireless sensor networks(WSNs),BPNDA,a data aggregation algorithm based on back-propagation networks,was proposed,which integrates a three-layer BP neural network with clustering routing protocol.The input layer neuron is located in cluster members,while the hidden layer neuron and the output layer neuron are located in cluster head.Only the processed data represented the features of the raw collected data will be transmitted to the sink,so the efficiency ... |
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| Keywords: | wireless sensor networks data aggregation artificial neural networks cluster |
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