| 一种改进的无线传感器网络信息融合技术① |
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| 引用本文： | 付华,胡雅馨. 一种改进的无线传感器网络信息融合技术①[J]. 计算机系统应用, 2010, 19(7): 183-185 |
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| 作者姓名： | 付华 胡雅馨 |
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| 作者单位： | 辽宁工程技术大学,电气与控制工程学院,辽宁,葫芦岛,125105 |
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| 基金项目： | 国家自然科学基金，教育部博士点项目，辽宁省优秀人才基金，辽宁省重大科技项目，辽宁省科技攻关项目 |
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| 摘 要： | 针对矿井环境监测系统的安全隐患问题，提出基于改进Kalman滤波与SVM的分布递阶信息融合方法，将系统中的传感器分为源节点和汇聚节点，在源节点采用改进Kalman滤波，汇聚节点采用SVM信息融合方法。该算法可以有效地降低无线传感器网络的能耗和网络信息冲突，仿真结果表明，该方法具有可靠性，并有效地提高无线传感器网络的信息融合精度。
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| 关 键 词： | 息融合 卡尔曼滤波 支持向量机 无线传感器网络 |
| 收稿时间： | 2009-10-24 |
| 修稿时间： | 2009-12-05 |
An Improved Information Fusion Technique in Wireless Sensors Network |
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| FU Hua and HU Ya-Xin. An Improved Information Fusion Technique in Wireless Sensors Network[J]. Computer Systems& Applications, 2010, 19(7): 183-185 |
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| Authors: | FU Hua and HU Ya-Xin |
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| Affiliation: | (Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China) |
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| Abstract: | In view of the security threats in the coal mine environmental monitoring system, this paper proposes a method for distributed hierarchical information fusion based on improved Kalman filter and SVM. The sensors in the system are divided into source nodes and sink nodes. In the source, the Kalman filtering are used, and in the sink SVM is used. The algorithm can reduce the energy consumption and data collision. Simulation result verifies the reliability of this algorithm, and it improves the fusioning precision of the wireless sensor network. |
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| Keywords: | information fusion Kalman filter SVM wireless sensor network |
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