Effects of traffic generation patterns on the robustness of complex networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

16 Scopus Citations
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Author(s)

  • Jiajing Wu
  • Junwen Zeng
  • Zhenhao Chen
  • Chi K. Tse
  • Bokui Chen

Detail(s)

Original languageEnglish
Pages (from-to)871-877
Journal / PublicationPhysica A: Statistical Mechanics and its Applications
Volume492
Online published16 Nov 2017
Publication statusPublished - 15 Feb 2018
Externally publishedYes

Abstract

Cascading failures in communication networks with heterogeneous node functions are studied in this paper. In such networks, the traffic dynamics are highly dependent on the traffic generation patterns which are in turn determined by the locations of the hosts. The data-packet traffic model is applied to Barabási–Albert scale-free networks to study the cascading failures in such networks and to explore the effects of traffic generation patterns on network robustness. It is found that placing the hosts at high-degree nodes in a network can make the network more robust against both intentional attacks and random failures. It is also shown that the traffic generation pattern plays an important role in network design.

Research Area(s)

  • Cascading failures, Complex networks, Robustness, Traffic generation patterns

Citation Format(s)

Effects of traffic generation patterns on the robustness of complex networks. / Wu, Jiajing; Zeng, Junwen; Chen, Zhenhao et al.

In: Physica A: Statistical Mechanics and its Applications, Vol. 492, 15.02.2018, p. 871-877.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review