Upper bound of network capacity and a static optimal packet routing strategy

Cai Hong Kai, Jiancheng Long, Xiang Ling and Mao-Bin Hu

Physica A: Statistical Mechanics and its Applications, 2014, vol. 401, issue C, 174-181

Abstract: In this paper, we propose a max-flow-min-cost (MFMC) problem to obtain the upper bound of network capacity and develop an efficient packet routing strategy. The MFMC problem is formulated as two linear programs (LP). The optimal solutions of the two LPs are the upper bound of network capacity (i.e., maximum network flow rate) and an optimal packet flow pattern with minimum total free flow travel time under the maximum network flow rate, respectively. We also develop a static optimal routing strategy (SORS), which proportionally deliver packets along the path according to the optimal packet flow pattern. Simulation results indicate that the proposed SORS outperforms existing routing strategies in terms of both network capacity and traffic efficiency. Furthermore, the network capacity achieved by the SORS is very close to its upper bound.

Keywords: Packet routing strategy; Max-flow-min-cost problem; Scale-free networks; Network capacity; Traffic efficiency (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:401:y:2014:i:c:p:174-181

DOI: 10.1016/j.physa.2014.01.045

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