TY - JOUR
T1 - Optimal structure of complex networks for minimizing traffic congestion
AU - Zhao, Liang
AU - Cupertino, Thiago Henrique
AU - Park, Kwangho
AU - Lai, Ying-Cheng
AU - Jin, Xiaogang
N1 - Funding Information:
Z.L. and T.H.C. were supported by CNPq and FAPESP. K.P. and Y.C.L. were supported by AFOSR under Grant No. FA9550-07-1-0045 and by ONR through the WVHTC Foundation.
PY - 2007
Y1 - 2007
N2 - To design complex networks to minimize traffic congestion, it is necessary to understand how traffic flow depends on network structure. We study data packet flow on complex networks, where the packet delivery capacity of each node is not fixed. The optimal configuration of capacities to minimize traffic congestion is derived and the critical packet generating rate is determined, below which the network is at a free flow state but above which congestion occurs. Our analysis reveals a direct relation between network topology and traffic flow. Optimal network structure, free of traffic congestion, should have two features: uniform distribution of load over all nodes and small network diameter. This finding is confirmed by numerical simulations. Our analysis also makes it possible to theoretically compare the congestion conditions for different types of complex networks. In particular, we find that network with low critical generating rate is more susceptible to congestion. The comparison has been made on the following complex-network topologies: random, scale-free, and regular.
AB - To design complex networks to minimize traffic congestion, it is necessary to understand how traffic flow depends on network structure. We study data packet flow on complex networks, where the packet delivery capacity of each node is not fixed. The optimal configuration of capacities to minimize traffic congestion is derived and the critical packet generating rate is determined, below which the network is at a free flow state but above which congestion occurs. Our analysis reveals a direct relation between network topology and traffic flow. Optimal network structure, free of traffic congestion, should have two features: uniform distribution of load over all nodes and small network diameter. This finding is confirmed by numerical simulations. Our analysis also makes it possible to theoretically compare the congestion conditions for different types of complex networks. In particular, we find that network with low critical generating rate is more susceptible to congestion. The comparison has been made on the following complex-network topologies: random, scale-free, and regular.
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U2 - 10.1063/1.2790367
DO - 10.1063/1.2790367
M3 - Article
C2 - 18163767
AN - SCOPUS:37649014217
SN - 1054-1500
VL - 17
JO - Chaos (Woodbury, N.Y.)
JF - Chaos (Woodbury, N.Y.)
IS - 4
M1 - 043103
ER -