| 分布式信息融合的物联网事件检测方法 |
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| 引用本文： | 楼晓俊,鲍必赛,刘海涛.分布式信息融合的物联网事件检测方法[J].南京邮电大学学报(自然科学版),2012,32(1):12-16. |
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| 作者姓名： | 楼晓俊 鲍必赛 刘海涛 |
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| 作者单位： | 1. 中国科学院上海微系统与信息技术研究所无线传感器网络与通信重点实验室,上海,200050
2. 中国科学院上海微系统与信息技术研究所无线传感器网络与通信重点实验室,上海200050;无锡物联网产业研究院,江苏无锡214135 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)，国家科技重大专项 |
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| 摘 要： | 事件检测是物联网感知技术的一项重要应用。由于感知节点资源受限,事件检测准确率与节点能量有效性较难平衡。提出了一种新的物联网事件检测方法,基于分布式无线传感器网络,采用特征选择与人工智能学习算法,对感知数据进行局部与全局的二级信息融合,在降低节点功耗的同时提升了检测的准确率。进行要地周界入侵事件检测实验,结果表明,该方法相比传统的事件检测方法更加有效。
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| 关 键 词： | 物联网 事件检测 分布式传感网 特征选择 数据融合 |
Distributed Event Detection for the Internet of Things |
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| LOU Xiao-jun
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BAO Bi-sai
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LIU Hai-tao.Distributed Event Detection for the Internet of Things[J].Journal of Nanjing University of Posts and Telecommunications,2012,32(1):12-16. |
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| Authors: | LOU Xiao-jun BAO Bi-sai LIU Hai-tao |
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| Institution: | 1,2( 1.Key Lab of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Shanghai 200050,China 2.Wuxi SensingNet Industrialization Research Institute,Wuxi 214135,China) |
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| Abstract: | In sensing technology of the Internet of Things(IoT),event detection is one of the most important applications.However,there is always a hard trade-off between the detection accuracy and the power efficiency due to limited resources of the sensor nodes.A novel event detection method for IoT is proposed based on the distributed wireless sensor network.A two-step data fusion model of applying feature selection and artificial intelligence algorithms is built for event detection to both reduce power consumption and improve detection accuracy.Experiment results of perimeter intrusion detection show that the proposed method can be more effective than traditional event detection methods. |
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| Keywords: | Internet of Things event detection distributed sensor network feature selection data fusion |
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