DocumentCode :
2460911
Title :
Phase transition in complex networks
Author :
Wang, Dan ; Cai, Na ; Jing, Yuanwei ; Zhang, Siying
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ. Shenyang, Shenyang, China
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
3310
Lastpage :
3313
Abstract :
We investigate numerically the influence of complex network topological structure on the traffic delivery, by incorporating local traffic information into the shortest path routing policy. As free traffic delivery on the communication networks is important to their efficient functioning, we find the network capacity that can be measured by the critical value of phase transition from free flow to congestion. Here, we present three kinds of traffic models based on the information processing capacity of individual nodes to study three kinds of networks, respectively.
Keywords :
complex networks; graph theory; network theory (graphs); telecommunication congestion control; telecommunication network routing; telecommunication network topology; telecommunication traffic; communication network; complex network topological structure; congestion flow; phase transition; random graph; shortest path routing policy; traffic delivery; traffic information; Communication networks; Communication system traffic control; Complex networks; Fluid flow measurement; Network topology; Phase measurement; Protocols; Routing; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5159944
Filename :
5159944
Link To Document :
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