首页> 中文期刊> 《传感器与微系统》 >基于WSNs矿山设备振动监测的时间同步算法研究

基于WSNs矿山设备振动监测的时间同步算法研究

     

摘要

以无线传感器网络(WSNs)在矿山机械设备健康感知中的特殊应用为背景,研究了煤矿生产环境下需要的特殊感知网络结构,并构建WSNs的树形采集网络模型.在构建的模型下研究参考广播同步(RBS)算法.针对现有算法在建立时间同步时能耗较大和同步收敛时间长的问题,提出了改进的RBS(IRBS)算法.仿真分析发现改进算法能明显减少同步过程中的能量消耗和同步收敛时间.%Under the background of special applications of wireless sensor networks(WSNs) in the perception of mine machinery and equipment health, structure of special perception networks needed in the coal production environments is studied,tree collection network model of WSNs is built,and reference broadcast synchronization (RBS)is researched under the constructed model. Aiming at large energy consumption and long convergence time problems of existing algorithm in setting up time synchronization, an improved reference broadcast synchronization (IRBS) algorithm is proposed. Simulation analysis shows that the improved algorithm can reduce energy consumption and synchronization convergence time in the synchronization process significantly

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