Consensus Congestion Control in Multirouter Networks Based on Multiagent System
Due to the unbalance distribution of network resources and network traffic, congestion is an inherent property of the Internet. The consensus congestion controller based on the multiagent system theory is designed for the multirouter topology, which improves the performance of the whole networks. Ba...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/3574712 |
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| _version_ | 1832561853830529024 |
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| author | Xinhao Yang Sheng Xu Ze Li |
| author_facet | Xinhao Yang Sheng Xu Ze Li |
| author_sort | Xinhao Yang |
| collection | DOAJ |
| description | Due to the unbalance distribution of network resources and network traffic, congestion is an inherent property of the Internet. The consensus congestion controller based on the multiagent system theory is designed for the multirouter topology, which improves the performance of the whole networks. Based on the analysis of the causes of congestion, the topology of multirouter networks is modeled based on the graph theory and the network congestion control problem is described as a consensus problem in multiagent systems. Simulation results by MATLAB and Ns2 indicate that the proposed algorithm maintains a high throughput and a low packet drip ratio and improves the quality of the service in the complex network environment. |
| format | Article |
| id | doaj-art-7bb9d85fda2b467c92e121600b1a1e8d |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-7bb9d85fda2b467c92e121600b1a1e8d2025-02-03T01:24:00ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/35747123574712Consensus Congestion Control in Multirouter Networks Based on Multiagent SystemXinhao Yang0Sheng Xu1Ze Li2Department of Mechanical and Electric Engineering, Soochow University, Suzhou 215006, ChinaShanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaSchool of Electronic & Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaDue to the unbalance distribution of network resources and network traffic, congestion is an inherent property of the Internet. The consensus congestion controller based on the multiagent system theory is designed for the multirouter topology, which improves the performance of the whole networks. Based on the analysis of the causes of congestion, the topology of multirouter networks is modeled based on the graph theory and the network congestion control problem is described as a consensus problem in multiagent systems. Simulation results by MATLAB and Ns2 indicate that the proposed algorithm maintains a high throughput and a low packet drip ratio and improves the quality of the service in the complex network environment.http://dx.doi.org/10.1155/2017/3574712 |
| spellingShingle | Xinhao Yang Sheng Xu Ze Li Consensus Congestion Control in Multirouter Networks Based on Multiagent System Complexity |
| title | Consensus Congestion Control in Multirouter Networks Based on Multiagent System |
| title_full | Consensus Congestion Control in Multirouter Networks Based on Multiagent System |
| title_fullStr | Consensus Congestion Control in Multirouter Networks Based on Multiagent System |
| title_full_unstemmed | Consensus Congestion Control in Multirouter Networks Based on Multiagent System |
| title_short | Consensus Congestion Control in Multirouter Networks Based on Multiagent System |
| title_sort | consensus congestion control in multirouter networks based on multiagent system |
| url | http://dx.doi.org/10.1155/2017/3574712 |
| work_keys_str_mv | AT xinhaoyang consensuscongestioncontrolinmultirouternetworksbasedonmultiagentsystem AT shengxu consensuscongestioncontrolinmultirouternetworksbasedonmultiagentsystem AT zeli consensuscongestioncontrolinmultirouternetworksbasedonmultiagentsystem |