确定性网络拓扑节点收敛时间预测模型

Deterministic Network Topology Node Convergence Time Prediction Model

针对传统的收敛时间预测方法预测速度慢以及预测结果不够准确的问题,提出基于确定性网络拓扑节点收敛时间预测模型。根据网络效率确定了收敛处理时间,按照带宽配比覆盖范围和有效遮挡物估算预测传输路径;通过明确中央节点位置和其他节点数量计算节点反应速率,实现了网络拓扑节点收敛时间预测,完成模型构建。基于上述预测方法,开展了两组对比实验以验证所提方法的有效性。结果表明,在确定性网络拓扑节点收敛时间预测方法下,预测速度比传统方法更快,预测结果均在参考值之上,预测结果准确度比传统方法的预测结果更高,由此可知此方法更有效。

Aiming at the problems of slow prediction speed and inaccurate prediction results of traditional convergence time prediction methods,a convergence time prediction model based on deterministic network topology nodes is proposed.The convergence processing time is determined according to the network efficiency,and the transmission path is estimated according to the bandwidth ratio coverage and effective occlusion.The node response rate is calculated by clarifying the position of the central node and the number of other nodes,and the prediction of the convergence time of the network topology node is achieved,and the model is completed.Based on the above prediction methods,two sets of comparative experiments were carried out to verify the effectiveness of the proposed method.The results show that under the deterministic network topology node convergence time prediction method,the prediction method is faster than the traditional method,the prediction results are above the reference value,and the prediction result is more accurate than the traditional method.It can be seen that this method is more effective.