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实施网络局部交通流的单向传输能否有效地提高网络的吞吐量及缓解网络拥塞情况,对于许多现实复杂系统而言具有重要意义.通过研究节点的度和介数与节点拥塞情况的关系,提出了两种用于交通流单向传输控制的流向约束模型.为检验不同模型下流向约束对网络传输能力的影响,通过引入一个状态参数H,利用由稳态到拥塞状态的指标流量相变值来度量网络的吞吐量,并分别针对3种网络在不同约束模型下进行了仿真.通过数值模拟得到如下结论:采用基于度的流向约束模型对ER随机网络和WS小世界网络的数据传输能力几乎没有影响,网络吞吐量和拥塞情况均没有得到改善,但该模型在一定程度上缓解了BA无标度网络的拥塞程度;采用基于介数的流向约束模型有效地提高了ER随机网络和WS小世界网络的吞吐量并在一定程度上缓解了网络拥塞情况,且较基于度的约束模型进一步改善了BA无标度网络的拥塞程度,但无论采用哪种约束模型,均不能有效提高BA无标度网络的吞吐量.同时可以看出,对于3种网络,有意识地对介数较大(拥塞较严重)节点实施流向约束均可以有效地缓解网络的拥塞程度.
Implementing the one-way transmission of local traffic flow in network can effectively improve the network throughput and alleviate the network congestion, which is of great significance for many realistic complex systems.By studying the relationship between node degree and the number of mediation and node congestion, Two kinds of flow restriction models for traffic flow unidirectional transmission control are proposed.In order to test the influence of traffic flow constraints under different models on network transmission capacity, a state parameter H is introduced to make use of the indicator flow rate steady-state to congestion status Value to measure the throughput of the network and simulate the three kinds of networks under different constraint models respectively.The numerical simulation shows that the data transmission ability of ER stochastic network and WS small world network Almost did not affect the network throughput and congestion are not improved, but the model to some extent alleviate the degree of congestion BA scale-free network; using mediated based on the flow constraint model effectively improve the ER random network and WS Throughput of small-world networks and to a certain extent alleviated the network congestion, and a more degree-based constraint model Which further improves the congestion degree of BA scale-free network.But no matter which kind of constraint model is adopted, it can not effectively improve the throughput of BA scale-free network.At the same time, it can be seen that for the three kinds of networks, (Congestion is more serious) Node implementation of flow constraints can effectively alleviate the network congestion.