摘要
在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输量,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,并从传输方式、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。
A fundamental challenge in the design of wireless sensor networks （WSNs） is to overcome resource-constraints： energy and bandwidth. Data fusion has emerged as a basic approach in order to reduce the number of transmissions of sensor nodes, and hence minimize the overall Rower consumption and the probability of collision in the network. Lots of factors affect the performance of data fusion, such as the type of the sources of interest, the density of the sensors, the placement of aggregation points, the aggregation function, and the communication network topology. In this paper, the authors divide all the approaches into 2 aspects： self-organization and in-network processing. The aim of this paper is to provide a better understanding of the current research issues in the field of data fusion. In those two aspects, this paper introduces several important issues, including data dissemination paradigm, network topology, synchronization, aggregation function and collaborative signal processing,and some approaches are introduced for better understanding in each issue.
出处
《重庆邮电学院学报（自然科学版）》
2006年第1期53-59,共7页
Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)
基金
重庆市教委科学技术研究基金项目(040504,040502)~~
关键词
数据融合
无线传感器网络
自组织性
网内处理
data fusion
wireless sensor network
self-organization
in-network processing
