| 基于GA-SVR的数据采集算法 |
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| 引用本文： | 李建,张向利,唐甜,陶晗,韦礼凯.基于GA-SVR的数据采集算法[J].桂林电子科技大学学报,2013(5):379-383. |
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| 作者姓名： | 李建 张向利 唐甜 陶晗 韦礼凯 |
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| 作者单位： | [1]桂林电子科技大学信息与通信学院,广西桂林541004 [2]桂林机床股份有限公司,广西桂林541001 |
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| 基金项目： | 国家自然科学基金（61163060）广西科学研究与技术开发计划（桂科攻12118017-2C）;广西自然科学基金（2011GXSFD01802）,桂林市科学研究与技术开发计划（20120104-13） |
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| 摘 要： | 为了减少节点间的通信数据量,降低无线传感器网络的通信能耗,提出一种基于GA-SVR的数据采集算法。通过构建感知数据预测模型,用节点的预测数据表示实际监测值,并能自主决策是否进行实测数据的传输。仿真实验结果表明,该感知数据预测模型预测结果准确率高,能有效地减少节点之间的数据通信量,降低网络的总能量消耗,延长网络的生命周期。
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| 关 键 词： | 无线传感网 数据采集 支持向量回归 遗传算法 |
A data gathering algorithm based on GA-SVR |
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| Li Jian,Zhang Xiangli,Tang Tian,Tan Han,Wei Likai.A data gathering algorithm based on GA-SVR[J].Journal of Guilin Institute of Electronic Technology,2013(5):379-383. |
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| Authors: | Li Jian Zhang Xiangli Tang Tian Tan Han Wei Likai |
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| Affiliation: | 1. School of Information and Communication Engineering, Guilin University of Electronic Technology, Guilin 541004, China; 2. Guilin Machine Tool Co. , Ltd, Guilin 541001, China) |
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| Abstract: | In order to reduce the amount of data communication between sensor nodes, a data gathering algorithm based on GA-SVR is proposed. The perception data model is established by the genetic optimization support vector regres- sion. The model predicts the node data which represents the actual monitoring, and can determine whether a data need to transfer via the decision value. The experimental results show that the proposed data acquisition optimization algo- rithm can predict node data with high accuracy, and can reduce the frequency of data transmission between sensor nodes. The designed algorithm saves more energy and extends the wireless sensor networks lifetime. |
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| Keywords: | wireless sensor networks data gathering support vector regression genetic algorithm |
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