IMPROVED EFFICIENT ROUTING STRATEGY ON SCALE-FREE NETWORKS
Zhong-Yuan Jiang () and
Man-Gui Liang ()
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Zhong-Yuan Jiang: Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P. R. China;
Man-Gui Liang: Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P. R. China;
International Journal of Modern Physics C (IJMPC), 2012, vol. 23, issue 02, 1-11
Abstract:
Since the betweenness of nodes in complex networks can theoretically represent the traffic load of nodes under the currently used routing strategy, we propose an improved efficient (IE) routing strategy to enhance to the network traffic capacity based on the betweenness centrality. Any node with the highest betweenness is susceptible to traffic congestion. An efficient way to improve the network traffic capacity is to redistribute the heavy traffic load from these central nodes to non-central nodes, so in this paper, we firstly give a path cost function by considering the sum of node betweenness with a tunable parameter β along the actual path. Then, by minimizing the path cost, our IE routing strategy achieved obvious improvement on the network transport efficiency. Simulations on scale-free Barabási–Albert (BA) networks confirmed the effectiveness of our strategy, when compared with the efficient routing (ER) and the shortest path (SP) routing.
Keywords: Improved efficient routing; scale-free networks; betweenness centrality; traffic capacity; transport efficiency; 89.75.Hc; 89.20.Hh; 89.75.Da (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1142/S0129183112500167
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