• DocumentCode
    512135
  • Title

    On allocating redundancy links to improve robustness of complex communication network

  • Author

    Zhuo, Yue ; Peng, Yunfeng ; Long, Keping ; Liu, Yinkai

  • Author_Institution
    Research Centre for Optical Internet and Mobile Information Networks, University of Electronic Sci. & Tech. of China, No.4, Section 2, North Jianshe Road, Chengdu, China, 610054
  • Volume
    2009-Supplement
  • fYear
    2009
  • fDate
    2-6 Nov. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    To improve robustness for the complex network, this paper propose a novel probabilistic approach to allocate redundancy links based on nodal degree, i.e. preferential allocation, inverse preferential allocation, and hiding redundancy links (HRL) strategy. We find that allocating redundancy links can efficiently improve robustness of networks to tolerate the coordinated attack. Especially, I-I case, which both source node and destination node are chosen by inverse preferential allocation, performs the best. Furthermore, we investigate the effects of HRL strategy under the coordinated attack, and the simulation shows that HRL strategy can achieve the better performance than never. More interestingly, the relationship between threshold of crash and the number of redundancy links appears to achieve nonlinear by the HRL strategy. Therefore, a small fraction of redundancy links is highly contributed to improve the tolerance attack dramatically. This paper provides an insight on improving network robustness to tolerant the coordinated attack by allocating redundancy links.
  • Keywords
    Communication networks; Complex networks; Computer crashes; IP networks; Joining processes; Nonlinear optics; Optical fiber networks; Physics; Redundancy; Robustness; complex networks; coordinated attack; network robustness; redundancy links;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Photonics Conference and Exhibition (ACP), 2009 Asia
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-55752-877-3
  • Electronic_ISBN
    978-1-55752-877-3
  • Type

    conf

  • Filename
    5405408