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作 者:王玉峰 高雅娟 WANG Yu-feng;GAO Ya-juan(China University Of Mining And Technology Yinchuan College,Ningxia Yinchuan 750021,China)
出 处:《计算机仿真》2022年第4期341-344,356,共5页Computer Simulation
基 金:宁夏教育厅重点建设专业机电能源装备专业群基金号(宁教高办[2015]109号)。
摘 要:物联网终端的接入影响数据网关信道容量,导致网关运行状态不稳定。提出物联网终端安全接入下数据网关状态预测方法。采用最短路径寻优法部署网关路由节点,构建物联网信道传输模型,在跨层优化理论基础上构建信道容量分析模型,利用拉格朗日对偶分解法求解信道容量分析模型。基于单周期预测模型和聚合预测模型构建多周期预测模型,实现物联网终端安全接入数据网关状态的预测。仿真结果表明,所提方法的预测效率更高、准确率更理想。The access of the Io T terminal influences the capacity of the data gateway channel, leading to unstable operation. Therefore, a method to predict the data gateway state under the secure access of the Io T terminal was presented. The shortest path optimization method was used to deploy the gateway routing nodes, and then the Io T channel transmission model was built. Moreover, the channel capacity analysis model was built by the cross-layer optimization theory. The channel capacity analysis model was solved by Lagrange dual decomposition method. Based on the singlecycle prediction model and the aggregation prediction model, the multi-cycle prediction model was constructed to predict the status of secure access data gateway in the Io T terminal. Simulation results show that the proposed method is more efficient and accurate.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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