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	A novel framework for cluster-based sensor fusion
	Wang, Xue ; Wang, Sheng ; Jiang, Aiguo
	2010-05-10 ; 2010-05-10 ; OCT 04-06, 2006
会议名称	2006 IMACS: Multiconference on Computational Engineering in Systems Applications, Vols 1 and 2 ; IMACS Multiconference on Computational Engineering in Systems Applications (CESA 2006) ; Beijing, PEOPLES R CHINA ; Web of Science
关键词	wireless sensor network clustering data fusion energy-time-efficient COLLABORATIVE SIGNAL NETWORKS Automation & Control Systems Computer Science, Artificial Intelligence Computer Science, Interdisciplinary Applications Telecommunications
中文摘要	Sensor fusion is a significant aspect for wireless sensor networks. Due to random deployment of sensor nodes, clustering and access sequence of sensor nodes will influence energy consumption and time delay of data fusion. In this paper, an energy-time-efficient framework for cluster-based data fusion is proposed for improving the performance and reducing the congestion of wireless link, which adopts maximum entropy clustering to partition wireless sensor network and engages ant colony optimization to arrange the schedule of access sequence for all sensor nodes inside clusters. In the proposed framework, a mobile agent firstly fuses local information progressively within each cluster; then central service node performs a global fusion from local results. The simulation results verify that the optimized method for cluster-based data fusion can improve the global precision. It is analyzed that the clustering can influence the efficiency and precision of data fusion. Finally, the performance of cluster-based data fusion is analyzed with the energy*time metric.
会议录出版者	TSINGHUA UNIVERSITY PRESS ; BEIJING ; TSINGHUA UNIVERSITY HAIDIANQU, BEIJING 100084, PEOPLES R CHINA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19463]
专题	清华大学
推荐引用方式 GB/T 7714	Wang, Xue,Wang, Sheng,Jiang, Aiguo. A novel framework for cluster-based sensor fusion[C]. 见:2006 IMACS: Multiconference on Computational Engineering in Systems Applications, Vols 1 and 2, IMACS Multiconference on Computational Engineering in Systems Applications (CESA 2006), Beijing, PEOPLES R CHINA, Web of Science.

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