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无线传感器网络中的数据融合问题
引用本文:邵凯 张红卫 梁燕 张治中 雒江涛. 无线传感器网络中的数据融合问题[J]. 重庆邮电学院学报(自然科学版), 2006, 18(1): 53-59
作者姓名:邵凯 张红卫 梁燕 张治中 雒江涛
作者单位:重庆邮电学院通信网与信令测试重点实验室,重庆400065
基金项目:重庆市教委科学技术研究基金项目(040504,040502)
摘    要:雀设计无线传感器网络时,基本的问题是克服能量与带宽的限制。数据融合作为一个基本的方法,其目的是减少传感节点间的传榆量,达到降低整个网络中的能量消耗和数据冲突。为了对当前在无线传感器网络的数据融合问题的研究工作做一个全面的总结,根据自组织性和网内处理2大类对现有研究成果进行分类,并从传榆方式、网络拓扑、时钟同步、融合函数、多信号处理等多方面对当前的研究成果进行细致划分和精炼比较,为当前在这个领域的工作做了较好的综述。

关 键 词:数据融合 无线传感器网络 自组织性 网内处理
文章编号:1004-5694(2006)01-0053-07
收稿时间:2005-05-24

Data fusionin wireless sensor network:Asurvey
SHAO Kai, ZHANG Hong-wei, LIANG Yan, ZHANG Zhi-zhong,LUO Jiang-tao. Data fusionin wireless sensor network:Asurvey[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition), 2006, 18(1): 53-59
Authors:SHAO Kai   ZHANG Hong-wei   LIANG Yan   ZHANG Zhi-zhong  LUO Jiang-tao
Affiliation:Key Laboratory on Communication Networks and Testing Technology, Chongqing University of Posts and Telecommnications , Chongqing 400065 ,P. R. China
Abstract:Afundamental challenge in the design of wireless sensor networks(WSNs) is to over-come resource-constraints :energy and bandwidth.Data fusion has emerged as a basic approachinorder to reduce the number of transmissions of sensor nodes,and hence mini mize the overall powerconsumption and the probability of collisioninthe network.Lots of factors affect the performanceof data fusion,such as the type of the sources of interest,the density of the sensors,the place-ment of aggregation points,the aggregation function,and the communication network topology.In this paper,the authors divide all the approachesinto 2 aspects :self-organization andin-networkprocessing.The ai mof this paper is to provide a better understanding of the current research is-sues in the field of data fusion.In those two aspects,this paper introduces several i mportant is-sues,including data dissemination paradigm,network topology,synchronization,aggregationfunction and collaborative signal processing,and some approaches are introduced for better under-standingin eachissue.
Keywords:data fusion   wireless sensor network   self-organization    in-network processing
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