传感技术学报Issue(1)：142-148,7.DOI:10.3969/j.issn.1004-1699.2014.01.026
基于事件驱动和神经网络的无线传感器网络数据融合算法研究
Data Aggregation of Wireless Sensor Network Based on Event-Driven and Neural Network
摘要
Abstract
To reduce energy consumption and data redundancy of wireless sensor network ( WSN ) emergency monitoring,a data fusion algorithm EBPDF(Event-Driven Back-Propagation Data Fusion Algorithm)based on event-driven dynamic clustering scheme and BP neural network is proposed. Dynamic clusters as well as cluster head election process is based on the severity of the incident and the node residual energy. The life cycle and coverage of the cluster are adjusted dynamically according to the urgency of the event and the node residual energy. Meanwhile the hierarchy of the neural network is combined with the cluster structure of WSN in order to reduce the network traffic. The three-layer neural network model is applied in the dynamic cluster structure,so a few eigenvalues which is sent to the sink node can be extracted from the raw data collected by the neural network algorithm. The method prolongs the network life cycle,reduces the redundancy of data transmission. The simulation experiments show that,compared with LEACH algorithm,EBPDF can reduce network traffic and the number of node communication effectively.关键词
无线传感网络/数据融合/事件驱动/BP神经网络/动态分簇/LEACH算法Key words
WSN/data fusion/event-driven/BP neural network/dynamic clustering scheme/LEACH algorithm分类
信息技术与安全科学引用本文复制引用
侯鑫,张东文,钟鸣..基于事件驱动和神经网络的无线传感器网络数据融合算法研究[J].传感技术学报,2014,(1):142-148,7.基金项目
浙江省自然科学基金项目(LQ13F030006) （LQ13F030006）
浙江省教育厅科技项目(Y201225769) （Y201225769）
浙江省电子商务与物流信息技术研究重点实验室项目(2011E10005) （2011E10005）
浙江工商大学创新基金项目(1130XJ1512160) （1130XJ1512160）
浙江省大学生科技创新活动计划(新苗人才计划)项目(3070JQ4213073G) （新苗人才计划）
