传感技术学报2025，Vol.38Issue(3)：543-549,7.DOI:10.3969/j.issn.1004-1699.2025.03.022
基于自回归积分滑动平均模型的无线传感网络通信传输信号延迟消除方法
A Method for Eliminating Communication Transmission Signal Delay in Wireless Sensor Networks Based on Autoregressive Integral Moving Average Model
摘要
Abstract
In order to solve the problem of communication transmission signal delay in wireless sensor networks affected by the environ-ment,a method for eliminating transmission signal delay is proposed.by combining the autoregressive integral moving average model(ARI-MA)and wavelet neural network(WNN),integrated prediction of communication transmission signal delay is performed.The steps and constraints of the transmission signal delay elimination process are designed based on the delay prediction results,and an optimization ob-jective function is constructed for wireless sensor network communication transmission based on this.The immune clone leapfrog algorithm is introduced to solve the objective function and obtain the optimal transmission scheme.Results of simulation analysis shows that the de-lay prediction error and end-to-end delay error of the proposed method are less than 0.01 ms,the maximum energy consumption is 6.4 W,and the maximum average packet loss rate is 0.286%,demonstrating that the proposed method can effectively and accurately predict and eliminate communication transmission signal delays in wireless sensor networks.关键词
无线传感网络/传输信号/延迟消除/自回归积分滑动平均模型/小波神经网络Key words
wireless sensor network/transmission signal/delay elimination/autoregressive integral moving average model/wavelet neural network分类
信息技术与安全科学引用本文复制引用
崔蕾,王同..基于自回归积分滑动平均模型的无线传感网络通信传输信号延迟消除方法[J].传感技术学报,2025,38(3):543-549,7.基金项目
辽宁省自然科学基金项目(202135465550) （202135465550）
