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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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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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. |
format | Article |
id | doaj-art-2e0013b4fd82409192e3884d4183d95c |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
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 |