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Enhance the Transfer Capacity of Multiplex Networks
Complexity ( IF 2.462 ) Pub Date : 2021-01-13 , DOI: 10.1155/2021/6687463
Fei Shao; Wei Zhao; Binghua Cheng

Most complex real systems are found to have multiple layers of connectivity and required to be modelled as multiplex networks. One of the extremely critical problems is to reduce the congestion and enhance the transfer capacity, especially in real communication networks with a big data environment. A novel and effective strategy to improve traffic and control congestion is proposed by adding edges according to their weights which are defined by the topology structural properties. Furthermore, which layer is more effective when our strategy is applied is discussed based on its topology structure. Adding edges between nodes whose product of multiplex network betweenness is the highest is confirmed to be more effective, particularly in the layer with stronger community structure. Simulation experiments on both computer-generated and real-world networks demonstrate that our strategy can enhance the transfer capacity of multiplex networks significantly, which is in good agreement with our analysis.

中文翻译:

增强复用网络的传输能力

发现大多数复杂的实际系统具有多层连接,需要将其建模为多路复用网络。极其关键的问题之一是减少拥塞并提高传输容量,尤其是在具有大数据环境的真实通信网络中。通过根据拓扑结构属性定义的边缘权重添加边缘,提出了一种新颖有效的策略,以改善流量和控制拥塞。此外,基于其拓扑结构,讨论了应用我们的策略时哪一层更有效。已证实在多路复用网络之间的乘积最高的节点之间添加边缘更为有效,特别是在具有更强社区结构的层中。
更新日期:2021-01-13
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