Enhance the Transfer Capacity of Multiplex Networks

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....

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Main Authors: Fei Shao, Wei Zhao, Binghua Cheng
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6687463
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author Fei Shao
Wei Zhao
Binghua Cheng
author_facet Fei Shao
Wei Zhao
Binghua Cheng
author_sort Fei Shao
collection DOAJ
description 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.
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institution Kabale University
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1099-0526
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publishDate 2021-01-01
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series Complexity
spelling doaj-art-2e0013b4fd82409192e3884d4183d95c2025-02-03T06:07:36ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66874636687463Enhance the Transfer Capacity of Multiplex NetworksFei Shao0Wei Zhao1Binghua Cheng2School of Computer Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaSchool of Computer Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaSchool of Computer Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaMost 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.http://dx.doi.org/10.1155/2021/6687463
spellingShingle Fei Shao
Wei Zhao
Binghua Cheng
Enhance the Transfer Capacity of Multiplex Networks
Complexity
title Enhance the Transfer Capacity of Multiplex Networks
title_full Enhance the Transfer Capacity of Multiplex Networks
title_fullStr Enhance the Transfer Capacity of Multiplex Networks
title_full_unstemmed Enhance the Transfer Capacity of Multiplex Networks
title_short Enhance the Transfer Capacity of Multiplex Networks
title_sort enhance the transfer capacity of multiplex networks
url http://dx.doi.org/10.1155/2021/6687463
work_keys_str_mv AT feishao enhancethetransfercapacityofmultiplexnetworks
AT weizhao enhancethetransfercapacityofmultiplexnetworks
AT binghuacheng enhancethetransfercapacityofmultiplexnetworks