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2010 Volume 26 Issue 10
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2010: Optimal Capacity Allocation on Heterogeneous Complex Transport Networks, Chinese Physics Letters, 27(10): 232-235.
Citation: 2010: Optimal Capacity Allocation on Heterogeneous Complex Transport Networks, Chinese Physics Letters, 27(10): 232-235.
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Optimal Capacity Allocation on Heterogeneous Complex Transport Networks

  • Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074

  • Department of Control Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074

  • Petroleum Engineering College, Yangtze University, Jingzhou 420400

  • We study how the node delivering capacity is allocated so that the traffic transport efficiency can be enhanced maximally. Network heterogeneity of degree distribution and processing delay of the traffic are considered. An explicit analytical solution is provided, which is based on the M/M/1 queueing theory and optimization principle, provided that the network structure and routing strategy are given. In particular, we extend the relevant conclusions in the literature [Europhys. Lett. 83 (2008) 28001]. Finally, an order parameter simulation example by comparing results with those obtained via simple capacity allocation in large Barabasi-Albert (BA) scale-free network is provided to illustrate the effectiveness of the theoretical results.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Optimal Capacity Allocation on Heterogeneous Complex Transport Networks

Abstract: We study how the node delivering capacity is allocated so that the traffic transport efficiency can be enhanced maximally. Network heterogeneity of degree distribution and processing delay of the traffic are considered. An explicit analytical solution is provided, which is based on the M/M/1 queueing theory and optimization principle, provided that the network structure and routing strategy are given. In particular, we extend the relevant conclusions in the literature [Europhys. Lett. 83 (2008) 28001]. Finally, an order parameter simulation example by comparing results with those obtained via simple capacity allocation in large Barabasi-Albert (BA) scale-free network is provided to illustrate the effectiveness of the theoretical results.

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