A STUDY ON LOCAL SENSOR FUSION OF WIRELESS SENSOR NETWORKS BASED ON THE NEURAL NETWORK

摘要：

Taken as the whole networks information fusion, local sensor fusion, integrating signals from different sources and processing locally, is the first step work. Due to (he output of sensor nodes is vulnerable to the impact of around environmental factors, such as temperature, humidity, noise, etc., and in order to solve nonlinear problems between input and output, a sensor output compensation model based on the Neural Network is proposed. As the same time, the theory of the Neural Network is outlined, mainly an introduction is made to typical fusion algorithms, along with analyses and comparisons, in three Feed-Forward neural networks, BP, RBF and CMAC, respectively.

关键词： Local sensor fusion Neural network BP RBF CMAC

作者: XIAO-LIANG XU JUN-NA QIU CHUN CHEN

作者单位: School of Computer Science & Software Engineering, Hangzhou Dianzi University, Hangzhou, 310018 College of Computer Science, Zhejiang University, Hangzhou, 310027

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 4045-4050

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）