Improvement of decentralized random decrement technique for data processing in wireless sensor network

查看全文 作　　者：Liu [1]Chengyin;Xu [2]Chunchuan;Teng [1]Jun

机构地区：[1]School of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen Graduate School;[2]Underground Systems, Inc., 84 Business Park Drive,Armonk

出　　处：《Earthquake Engineering and Engineering Vibration》索引2016年第15卷第3期,共9页

基　　金：National Key Technology R&D Program of China under Grant No.2014BAL05B06;Guangdong Science&Technology Program under Grant No.2014A050503016;the Shenzhen Science&Technology Program under Grant No.GJHZ20150312114346635 摘　　要：The Random Decrement Technique(RDT), based on decentralized computing approaches implemented in wireless sensor networks(WSNs), has shown advantages for modal parameter and data aggregation identification. However, previous studies of RDT-based approaches from ambient vibration data are based on the assumption of a broad-band stochastic process input excitation. The process normally is modeled by filtered white or white noise. In addition, the choice of the triggering condition in RDT is closely related to data communication. In this project, research has been conducted to study the nonstationary white noise excitations as the input to verify the random decrement technique. A local extremum triggering condition is chosen and implemented for the purpose of minimum data communication in a RDT-based distributed computing strategy. Numerical simulation results show that the proposed technique is capable of minimizing the amount of data transmitted over the network with accuracy in modal parameters identification. 关键词：无线传感器网络随机减量技术数据处理模态参数识别分布式计算分散宽带随机过程数据通信

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Improvement of decentralized random decrement technique for data processing in wireless sensor network

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