计算机网络内部丢包节点检测仿真研究

摘要

A detection method of packet loss node in computer network is proposed based on similarity computation.Firstly,node sensing vector in computer network is used as the basis of the judgment and detection for packet loss node in computer network.Secondly,distribution method is used to obtain credible nodes in computer network as references.The state of neighbor nodes in computer network is judged.According to similarity value of nodes in computer network and neighbor nodes in time domain,packet loss nodes are detected and corrected.Simulation results show that the proposed method can improve the forwarding rate and average received power of nodes,and reduce the packet loss rate.%对计算机网络内部丢包节点的检测,能够实现对计算机监测信息的准确分析和判断.对丢包节点的检测,需要获取计算机网络内部可信节点作为参考,得到邻居节点的状态进行判断,完成对计算机网络内部丢包节点的检测.传统方法过滤保留内部良性特征点,分析节点与事件源的距离计算值与感知值之间的差异,但忽略了获得网络内部邻居节点的准确状态,导致检测精度偏低.提出基于相似度计算的计算机网络内部丢包节点检测方法,首先计算机网络内部节点感测向量,作为计算机网络内部丢包节点判断和检测的基础,利用分布式的方法获取计算机网络内部可信节点作为参考,对计算机网络内部邻居节点的状态进行判断,根据计算机网络内部节点其它邻居节点在时间域上的相似值进行丢包节点检测和修正.通过仿真结果证明,所提方法提高了转发率、节点平均接收功率,且降低了丢包率.