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无线传感器网络数据融合技术研究 被引量:5

Research on Data Aggregation in Wireless Sensor Networks
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摘要 无线传感器网络是一种新兴前沿技术,其巨大的应用前景受到学术界和工业界的高度重视。无线传感器网络节点能量和计算资源严重受限,数据融合技术是减少网络能耗、降低数据冲突、降低传输时延的重要方法。本文首先分析数据融合的重要性;其次针对数据融合的功能分类阐述现有的数据融合方法,并分析存在的问题;最后对数据融合技术的未来发展进行了展望。 Data aggregation is the front line of technique,more and more academic researchers and people from industry are engaged in developing wireless sensor networks due to the great promise and potential with various applications.Aiming to the severe energy and computing resource constraints of wireless sensor networks(WSN),data aggregation is a very important technique that assists it in decreasing the energy consumption,cutting down time delays and decreasing overhead of the transmission during the process of data collection in a wireless sensor networks.This paper introduces the function and significance of data aggregation,specifies the existing and typical classification of data aggregation,points out the direction and prospects of data aggregation in WSN.
出处 《计算机与现代化》 2011年第2期111-116,共6页 Computer and Modernization
基金 河南省科技厅攻关项目(102102110133)
关键词 无线传感器网络 数据融合 能量 自组织 wireless sensor networks(WSN) data aggregation energy self-organization
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参考文献33

  • 1Akyildiz I F,Su W,Sankarasubramaniam Y,et al.Wireless sensor networks:A survey[J].Computer Networks,2002,38(4):393-422.
  • 2Tacconi David,Miorandi Daniele,et al.Using wireless sensor networks to support intelligent transportation systems[J].Ad Hoc Networks;2010,8(5):462-473.
  • 3Yick Jennifer,Mukherjee Biswanath,Ghosal Dipak.Wireless sensor network survey[J].Computer Networks,2008,52(12):2292-2330.
  • 4Hall D L,Llinas J.An introduction to multisensor data fusion[C] //Proceedings of the IEEE.1997,85(1):6-23.
  • 5康健,左宪章,唐力伟,张西红,李浩.无线传感器网络数据融合技术[J].计算机科学,2010,37(4):31-35. 被引量:50
  • 6Curiac D I,Volosencu C,Pescaru D,et al.Redundancy and its applications in wireless sensor networks:A survey[J].WSEAS Transactions on Computers,2009,8(4):705-714.
  • 7Chang Jiun-jian,Hsiu Pi-cheng,Kuo Tei-wei.Search-oriented deployment strategies for wireless sensor networks[C] //Proc.of the 10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing(ISORC'07).Santorini ; sland,Greece,2007:164-171.
  • 8张书奎,崔志明,龚声蓉,孙涌,方巍.基于Bayes序贯估计的无线传感器网络数据融合算法[J].电子与信息学报,2009,31(3):716-721. 被引量:7
  • 9唐晨,王汝传,黄海平,孙力娟.基于信息熵的无线传感器网络数据融合方案[J].东南大学学报(自然科学版),2008,38(A01):276-279. 被引量:5
  • 10Salahshoor Karim,Mosallaei Mohsen,Bayat Mohammadreza.Centralized and decentralized process and sensor fault monitoring using data fusion based on adaptive extended Kalman falter algorithm[J].Measurement,2008,41(10):1059-1076.

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