Probability routing strategy for scale-free networks

Xiaojun Zhang, Zishu He, Zheng He and Lez Rayman-Bacchus

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 4, 953-958

Abstract: This study proposes a probability routing strategy for improving traffic capability on scale-free networks. Compared with the shortest path routing strategy depending on central nodes largely and the efficient routing strategy avoiding hub routers as much as possible, the probability routing strategy makes use of hub routers more efficiently, transferring approximate average amount of packs of the whole network. Simulation results indicate that the probability routing strategy has the highest network capacity among the three routing strategies. This strategy provides network capacity that can be more than 30 times higher than that of the shortest path routing strategy and over 50% higher than that of the efficient routing strategy. In addition, the average routing path length of our proposed strategy is over 10% shorter than that of the efficient routing strategy and only about 10% longer than that of the shortest path routing strategy.

Keywords: Probability routing strategy; Scale-free networks; Network capacity; Average routing path length (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:4:p:953-958

DOI: 10.1016/j.physa.2012.10.012

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