• DocumentCode
    2137353
  • Title

    A trusted QoS rerouting mechanism based on vaccination immune genetic optimization

  • Author

    Lei Yang ; Xing-Wei Wang ; Min Huang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    760
  • Lastpage
    765
  • Abstract
    Node or link failures and users´ mobility are common in trusted network. A QoS (Quality of Service) rerouting mechanism based on vaccination immune genetic optimization is proposed to recover from such failures. The main idea behind this rerouting mechanism lies in maximizing the users´ QoS and trusted requirements and the link reuse ratio of the original connection. This paper presents a network model and description of users´ requirements. Satisfaction degree functions are given to measure users´ satisfaction about paths. In particular, a link trust evaluation model is established based on Bayesian inference. The simulation results have shown that the proposed mechanism is both feasible and effective, and it improves the rerouting success rate and the user satisfaction degree with users´ demands satisfied.
  • Keywords
    genetic algorithms; mobile computing; quality of service; trusted computing; Bayesian inference; Quality of Service rerouting mechanism; link failures; node failures; trust evaluation model; trusted QoS rerouting mechanism; trusted network; trusted requirements; user mobility; vaccination immune genetic optimization; Bandwidth; Delays; Jitter; Quality of service; Sociology; Statistics; TV; QoS (Quality of Service); genetic optimization; rerouting mechanism; satisfaction degree; trust evaluation; trusted network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2013 Ninth International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/ICNC.2013.6818077
  • Filename
    6818077