基于尺度耦合特性分析的侦听网络流量扩张模型

Interception Network Traffic Expansion Model Based on Characteristics Scale Coupling Analysis

在能量受限的侦听网络中,需要大量的信息交换,由于瓶颈节点的能量消耗无法满足侦听网络的流量需求,需要进行流量扩张模型构建。传统方法采用对偶子梯度法实现对侦听网络的流量扩张,方法只能考虑一种流量和节点的组合,适应性能不好。提出一种基于小波变换尺度耦合特性分析的侦听网络流量扩张模型,对侦听网络流量时间序列进行采集与分析,通过小波尺度耦合分析,对路由接收的调度任务指令数量做出有效预测,从而为调度模型的建立提供准确的数据基础。分析流量序列的瞬时频率线性变化规律,得到带宽频间谐振模型,通过小波尺度耦合特性约束,提高了流量的流通量,实现流量扩张。仿真结果表明,算法能有效提高侦听网络的数据流吞吐量,网络流量通道得到有效扩张,提高了侦听网络的安全性和通信效率,展示了较好的应用性能。

In the energy constrained interception of network, it requires a large amount of information exchange, due to the bottleneck node energy consumption cannot satisfy the interception of network traffic demands, so it needs to establish the flow expansion model. The traditional method uses dual sub-gradient method realizes the interception of network traffic expansion, it only considers a combination of flow and nodes, and the adaptability is bad. Interception of network traffic expansion model is proposed based on characteristics scale coupling analysis of wavelet, the wavelet scale coupling analysis is taken, it can effectively predict the number of scheduling task instruction received route. The scheduling model of data is predicted accurately. Analysis of instantaneous frequency linear variation of the runoff series resonant frequency is taken,bandwidth model is obtained, the characteristics of wavelet scale coupling constraints, improve the circulation flow. The simulation results show that the algorithm can effectively improve the interception of network, data throughput is enlarged,the safety and efficiency of communication interception of network is improved, it shows the better application performance.