摘要
目前的数据融合算法并没有考虑到数据的真实性,在实际环境中,传感节点可能会产生错误的感测数据。为此,提出基于层次拓扑的无线传感网络的数据融合(LTDA)算法。LTDA算法先估计感测数据的可信度,只有可信度高于阈值的数据才允许被传输。同时,在节点向基站传输数据时,总是选择权重最大的高层次节点作为下一跳转发节点,节点的权重隐含距离、剩余能量和链路质量信息。仿真数据表明,提出的LTDA算法降低平均能耗,并降低了数据包丢失率和端到端传输时延。
The data authenticity is not considered in the current data aggregation algorithm,and it is possible for sensing nodes to generate wrong sensing measured data in the actual environment.Therefore,a level topology based data aggregation(LTDA)algorithm is proposed for WSNs.In the LTDA algorithm,the confidence level of the sensing measured data is estimat-ed,and only the data whose confidence level is higher than the threshold is allowed to be transmitted.The high-level node with the maximum weight is selected to be the next-hop forwarding node when transmitting data from nodes to the base station.The node weight contains information of distance,residual energy and link quality.The simulation data shows that the proposed LT-DA algorithm can reduce the average energy consumption,data packet loss rate and end-to-end transmission time delay.
作者
陈志国
滕桂法
CHEN Zhiguo;TENG Guifa(School of Information Science and Technology,Hebei Agricultural University,Baoding 071000,China)
出处
《现代电子技术》
北大核心
2018年第24期61-65,70,共6页
Modern Electronics Technique
基金
河北省科技技术厅项目(9412016Y0391)~~
关键词
无线传感网
数据融合
可信度
层次拓扑
权重
传输时延
WSN
data aggregation
confidence level
level topology
weight
transmission time delay
