• DocumentCode
    1452128
  • Title

    Traffic Fluctuations on Weighted Networks

  • Author

    Yichao Zhang ; Shi Zhou ; Zhongzhi Zhang ; Jihong Guan ; Shuigeng Zhou ; Guanrong Chen

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tongji Univ., Shanghai, China
  • Volume
    12
  • Issue
    1
  • fYear
    2012
  • Firstpage
    33
  • Lastpage
    44
  • Abstract
    Traffic fluctuation has so far been studied on unweighted networks. However, many real traffic systems are better represented and understood as weighted networks, where nodes and links are assigned some weight values representing their physical properties such as capacity and delay. Here, we introduce a general random diffusion (GRD) model to investigate the traffic fluctuations on weighted networks, where a random walks choice of route is affected not only by the number of links a node has, but also by the weights of individual links. We obtain analytical solutions that characterize the relation between the average traffic and the fluctuations through nodes and links. Our analysis is supported by results of extensive numerical simulations. We observe that the value ranges of the average traffic and the fluctuations, through nodes or links, increase dramatically with the level of heterogeneity in link weights. This highlights the key role that link weight plays in traffic fluctuation and the necessity to study traffic fluctuations on weighted networks.
  • Keywords
    numerical analysis; telecommunication network routing; telecommunication traffic; GRD model; extensive numerical simulations; general random diffusion; real traffic systems; routing; traffic fluctuations; weighted networks; Delay; Fluctuations; Numerical simulation; Random processes; Telecommunication congestion control; Telecommunication network management; Telecommunication traffic;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1531-636X
  • Type

    jour

  • DOI
    10.1109/MCAS.2011.2181075
  • Filename
    6155116