计算机应用研究2017，Vol.34Issue(8)：2486-2489,4.DOI:10.3969/j.issn.1001-3695.2017.08.055
基于TEEN协议和BP神经网络的WSN数据融合模型
WSN data aggregation model based on TEEN protocol and BP neural network
摘要
Abstract
In view of the phenomenon that the wireless sensor network has a large number of invalid or redundant data, this paper proposed a data fusion model based on TEEN protocol and BP (back propagation) neural network.The model used three layer-based BP neural network to describe the cluster structure, and filtered unnecessary information through a TEEN threshold.During the process of information transmission, the performance function of neural network was used to deal with large amounts of sensing data, where feature value of sensing data was extracted and transmitted to the sink node.Experimental results show that the proposed model is superior to the TEEN protocol on data traffic, life cycle and network consumption.As a result, the life cycle of the proposed model is improved while reducing network traffic and network energy consumption.Hence, both the efficiency and performance of data collection are greatly improved.关键词
无线传感网/BP神经网络/分簇协议Key words
wireless sensor network/BP neural networks/clustering protocol分类
信息技术与安全科学引用本文复制引用
王军,刘文,程勇..基于TEEN协议和BP神经网络的WSN数据融合模型[J].计算机应用研究,2017,34(8):2486-2489,4.基金项目
国家自然科学基金资助项目(61402236,61373064) （61402236,61373064）
江苏省"六大人才高峰"项目(2015-DZXX-015,2013-DZXX-019) （2015-DZXX-015,2013-DZXX-019）
江苏省产学研前瞻性联合研究项目(BY2014007-2) （BY2014007-2）
公益性行业(气象)科研专项资助项目(GYHY201106037) （气象）
江苏省农业气象重点实验室开放基金资助项目(KYQ1309) （KYQ1309）
