Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network
In this paper, the traffic flow on weighted scale-free networks is investigated based on local routing strategy using link weights. The capacity of links is controlled by max(βwlj , 1). It is shown by simulations that two critical threshold βc1 and βc2 exist. When β > βc1, both the network capaci...
| Main Authors: | , , , , |
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| Format: | Book Chapter |
| Published: |
Springer
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/14353 |
| _version_ | 1848748600456118272 |
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| author | Hu, Mao Bin Wu, Yong Hong Jiang, R. Wu, Q. Wang, W. |
| author_facet | Hu, Mao Bin Wu, Yong Hong Jiang, R. Wu, Q. Wang, W. |
| author_sort | Hu, Mao Bin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, the traffic flow on weighted scale-free networks is investigated based on local routing strategy using link weights. The capacity of links is controlled by max(βwlj , 1). It is shown by simulations that two critical threshold βc1 and βc2 exist. When β > βc1, both the network capacity and the corresponding αc value remain unchanged. When βc1 > β > βc2, the network capacity decreases and the critical value of αc increases with the decrease of β. When β < βc2, αc decreases with the decrease of β. The behaviour can be explained by investigating the average number of packets on nodes and delivered through links. |
| first_indexed | 2025-11-14T07:07:37Z |
| format | Book Chapter |
| id | curtin-20.500.11937-14353 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:07:37Z |
| publishDate | 2009 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-143532017-01-30T11:43:14Z Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network Hu, Mao Bin Wu, Yong Hong Jiang, R. Wu, Q. Wang, W. In this paper, the traffic flow on weighted scale-free networks is investigated based on local routing strategy using link weights. The capacity of links is controlled by max(βwlj , 1). It is shown by simulations that two critical threshold βc1 and βc2 exist. When β > βc1, both the network capacity and the corresponding αc value remain unchanged. When βc1 > β > βc2, the network capacity decreases and the critical value of αc increases with the decrease of β. When β < βc2, αc decreases with the decrease of β. The behaviour can be explained by investigating the average number of packets on nodes and delivered through links. 2009 Book Chapter http://hdl.handle.net/20.500.11937/14353 Springer restricted |
| spellingShingle | Hu, Mao Bin Wu, Yong Hong Jiang, R. Wu, Q. Wang, W. Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network |
| title | Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network |
| title_full | Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network |
| title_fullStr | Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network |
| title_full_unstemmed | Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network |
| title_short | Traffic Dynamics Based on Local Routing Strategy in a Weighted Scale-Free Network |
| title_sort | traffic dynamics based on local routing strategy in a weighted scale-free network |
| url | http://hdl.handle.net/20.500.11937/14353 |