Improved efficient routing strategy on two-layer complex networks
Jinlong Ma,
Weizhan Han,
Qing Guo,
Shuai Zhang,
Junfang Wang and
Zhihao Wang
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Jinlong Ma: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China
Weizhan Han: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China†The 54th Research Institute of China, Electronics Technology Group Corporation, Shijiazhuang 050081, P. R. China
Qing Guo: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China
Shuai Zhang: #x2021;Bestpay Wealth Management, Beijing 100031, P. R. China
Junfang Wang: #x2020;The 54th Research Institute of China, Electronics Technology Group Corporation, Shijiazhuang 050081, P. R. China
Zhihao Wang: #x2020;The 54th Research Institute of China, Electronics Technology Group Corporation, Shijiazhuang 050081, P. R. China
International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 04, 1-16
Abstract:
The traffic dynamics of multi-layer networks has become a hot research topic since many networks are comprised of two or more layers of subnetworks. Due to its low traffic capacity, the traditional shortest path routing (SPR) protocol is susceptible to congestion on two-layer complex networks. In this paper, we propose an efficient routing strategy named improved global awareness routing (IGAR) strategy which is based on the betweenness centrality of nodes in the two layers. With the proposed strategy, the routing paths can bypass hub nodes of both layers to enhance the transport efficiency. Simulation results show that the IGAR strategy can bring much better traffic capacity than the SPR and the global awareness routing (GAR) strategies. Because of the significantly improved traffic performance, this study is helpful to alleviate congestion of the two-layer complex networks.
Keywords: Two-layer networks; scale-free networks; traffic capacity; betweenness centrality; routing strategy (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)
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DOI: 10.1142/S0129183116500443
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