| 无线传感器网络网内数据融合的研究 |
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| 引用本文： | 付兴武,高芳芳,白风.无线传感器网络网内数据融合的研究[J].传感器与微系统,2010,29(3). |
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| 作者姓名： | 付兴武 高芳芳 白风 |
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| 作者单位： | |
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| 基金项目： | 国家自然科学基金，辽宁省科技攻关汁划资助项目 |
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| 摘 要： | 针对目前无线传感器网络(WSNs)网内数据融合所面临的一些挑战,提出了一种基于无线传感器网络分布式K-平均聚类(DKCWSNs)算法的WSNs节点传感数据的分组策略,并采用基于自适应加权的数据融合方法对分组后的感知数据进行融合处理,从而获得更合理的结果.最后,通过实例验证了该方法的有效性.
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| 关 键 词： | 无线传感器网络 K-平均聚类算法 无线传感器网络分布式K-平均聚类算法 数据融合 |
Research on data fusion in wireless sensor networks |
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| FU Xing-wu,GAO Fang-fang,BAI Feng.Research on data fusion in wireless sensor networks[J].Transducer and Microsystem Technology,2010,29(3). |
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| Authors: | FU Xing-wu GAO Fang-fang BAI Feng |
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| Affiliation: | FU Xing-wu,GAO Fang-fang,BAI Feng(Faculty of Electrical and Engineering Control,Liaoning Technical University,Huludao 125105,China) |
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| Abstract: | In view of some present challenges of the data fusion in wireless sensor networks(WSNs),a grouping strategy of WSNs node sensing data based on distributed K-average cluster for WSNs(DKCWSNs)algorithm is proposed.The grouped sensing data fusion is processing by data fusion method based on adapted weighting to obtain a reasonable result.The validity of this method is confirmed. |
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| Keywords: | wireless sensor networks(WSNs) K-average cluster algorithm distributed K-average cluster algorithm for WSNs(DKCWSNs) data fusion |
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