基于环形缓冲区的WSN数据融合技术研究
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摘要:
无线传感器网络监测系统中,环境变化缓慢和节点感知范围重叠所造成的冗余数据会增加节点的数据发送量,降低信息收集效率并导致传感器节点过早死亡.因此,提出一种基于环形缓冲区的簇内数据融合方案.所有节点采用环形缓冲区存储数据.源节点基于环形缓冲区采用二值化相似函数和滑动四分位检测法,在保证数据时间关联性的同时剔除冗余数据和瞬时性异常数据.簇头节点基于加权皮尔逊距离的改进支持度对从源节点接收到的数据进行加权融合.仿真实验表明,所提出的方案在网络剩余节点数、网络剩余能量和网络发送数据包数等3个方面有明显的优势.
In the wireless sensor network monitoring system,redundant data caused by slow environmental changing and overlapping sensing range of nodes will increase the amount of data sent by sensor nodes,reduce the efficiency of information collection,and lead to premature death of sensor nodes.Therefore,this paper proposes an intracluster data fusion scheme based on ring buffer.All sensor nodes use ring buffers to store data.Based on the ring buffer,the source node adopts the binarized similarity function and sliding quartile detection method to eliminate redundant data and transient abnormal data while ensuring data time correlation.Based on the improved support of weighted Pearson distance,the cluster head node carries out weighted fusion of the data received from the source node.Simulation experiments show that the proposed scheme has obvious advantages in the number of remaining nodes in the network,the remaining energy of the network and the number of packets sent by the network.
作者:
杨芬婷 徐震
Yang Fenting;Xu Zhen(School of Electrical and Electronic Engineering,Wuhan Polytechnic University,Wuhan 430048,China)
机构地区:
武汉轻工大学电气与电子工程学院
引用本文:
《betway官方app 学报（自然科学版）》 CAS 2024年第2期62-71,共10页
Journal of Henan Normal University(Natural Science Edition)
基金:
国家自然科学基金(61373091) 湖北省自然科学基金(2017CKB893)。
关键词:
无线传感器网络 数据融合 支持度 环形缓冲区 滑动窗口
wireless sensor network data fusion support function ring buffer sliding window
分类号:
TP212.9 [自动化与计算机技术—检测技术与自动化装置]
