计算机工程Issue(4)：1-6,6.DOI:10.3969/j.issn.1000-3428.2015.04.001
基于数据融合的无线传感器网络延迟感知研究
Research on Delay-aware for Wireless Sensor Network Based on Data Fusion
摘要
Abstract
Network data fusion and cluster are effective technologies to reduce energy consumption of Wireless Sensor Network(WSN),however,clustering produces extra delays in the process of data aggregation,and the problem can be solved by the modified network structure. A Delay-aware Network Structure for WSNs with Data Fusion( DANSDF) is proposed. The proposed structure organizes sensor nodes into clusters of different sizes,each cluster can communicate with the fusion center in an interleaved manner. Simulation results show that compared with Low Energy Adaptive Clustering Hierarchy( LEACH) ,Delay-aware Data Collection Network Structure( DADCNS) the two network structures,DANSDF can reduce the delay in the process of data fusion,and can keep a low energy consumption.关键词
数据融合/聚类/无线传感器网络/延迟感知/融合中心/能量消耗Key words
data fusion/clustering/Wireless Sensor Network( WSN)/delay-aware/fusion center/energy consumption分类
信息技术与安全科学引用本文复制引用
刘海燕,刘云..基于数据融合的无线传感器网络延迟感知研究[J].计算机工程,2015,(4):1-6,6.基金项目
国家自然科学基金资助项目(61262040)。 （61262040）
