Ling Xiang (凌翔)a, Hu Mao-Bin (胡茂彬)b, Long Jian-Cheng (龙建成)a, Ding Jian-Xun (丁建勋)a, Shi Qin (石琴)a
a School of Transportation Engineering, Hefei University of Technology, Hefei 230009, China; b School of Engineering Science, University of Science and Technology of China, Hefei 230026, China
Abstract In this paper, an optimal resource allocation strategy is proposed to enhance traffic dynamics in complex networks. The network resources are the total node packet-delivering capacity and the total link bandwidth. An analytical method is developed to estimate the overall network capacity by using the concept of efficient betweenness (ratio of algorithmic betweenness and local processing capacity). Three network structures (scale-free, small-world, and random networks) and two typical routing protocols (shortest path protocol and efficient routing protocol) are adopted to demonstrate the performance of the proposed strategy. Our results show that the network capacity is reversely proportional to the average path length for a particular routing protocol and the shortest path protocol can achieve the largest network capacity when the proposed resource allocation strategy is adopted.
Fund: Project supported by the National Basic Research Program of China (Grant No. 2012CB725404), the National Natural Science Foundation of China ( Grant Nos. 71071044, 71171185, 71201041, and 71271075), and the Doctoral Program of the Ministry of Education, China ( Grant No. 20110111120023).
Characteristics of vapor based on complex networks in China Ai-Xia Feng(冯爱霞), Qi-Guang Wang(王启光), Shi-Xuan Zhang(张世轩), Takeshi Enomoto(榎本刚), Zhi-Qiang Gong(龚志强), Ying-Ying Hu(胡莹莹), and Guo-Lin Feng(封国林). Chin. Phys. B, 2022, 31(4): 049201.
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