The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks
The effect of link and node capacity on traffic dynamics are investigated in weighted scale-free networks by adopting a traffic routing model with local node strength information. The link bandwidth is controlled by: Bij = max(βwij , 1), and the capacity of nodes is controlled by: max(γsi, 1). The p...
| Main Authors: | , , , |
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| Format: | Book Chapter |
| Published: |
Springer
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/24144 |
| _version_ | 1848751347646595072 |
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| author | Hu, Mao Bin Jiang, R. Wu, Yong Hong Wu, Q. |
| author_facet | Hu, Mao Bin Jiang, R. Wu, Yong Hong Wu, Q. |
| author_sort | Hu, Mao Bin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The effect of link and node capacity on traffic dynamics are investigated in weighted scale-free networks by adopting a traffic routing model with local node strength information. The link bandwidth is controlled by: Bij = max(βwij , 1), and the capacity of nodes is controlled by: max(γsi, 1). The phase transition from free flow to congestion is reproduced. The optimal routing strategy is sought out. When β increases from zero, the optimal strategy changes from preferring low-strength nodes to high-strength nodes. When β ≈ 1.0, there will be two optimal routing strategies. When β is low, the system’s behavior is controlled by link bandwidth, while it is controlled by node capacity when β is high. Our work may be useful for the design of modern traffic systems and communication networks. |
| first_indexed | 2025-11-14T07:51:17Z |
| format | Book Chapter |
| id | curtin-20.500.11937-24144 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:51:17Z |
| publishDate | 2009 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-241442017-01-30T12:41:21Z The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks Hu, Mao Bin Jiang, R. Wu, Yong Hong Wu, Q. The effect of link and node capacity on traffic dynamics are investigated in weighted scale-free networks by adopting a traffic routing model with local node strength information. The link bandwidth is controlled by: Bij = max(βwij , 1), and the capacity of nodes is controlled by: max(γsi, 1). The phase transition from free flow to congestion is reproduced. The optimal routing strategy is sought out. When β increases from zero, the optimal strategy changes from preferring low-strength nodes to high-strength nodes. When β ≈ 1.0, there will be two optimal routing strategies. When β is low, the system’s behavior is controlled by link bandwidth, while it is controlled by node capacity when β is high. Our work may be useful for the design of modern traffic systems and communication networks. 2009 Book Chapter http://hdl.handle.net/20.500.11937/24144 Springer restricted |
| spellingShingle | Hu, Mao Bin Jiang, R. Wu, Yong Hong Wu, Q. The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks |
| title | The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks |
| title_full | The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks |
| title_fullStr | The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks |
| title_full_unstemmed | The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks |
| title_short | The Effects of Link and Node Capacity on Traffic Dynamics in Weighted Scale-Free Networks |
| title_sort | effects of link and node capacity on traffic dynamics in weighted scale-free networks |
| url | http://hdl.handle.net/20.500.11937/24144 |