• DocumentCode
    2444780
  • Title

    Performance analysis of mean internodal distance of connective semi-random networks

  • Author

    Shiokawa, Shigeki ; Sasase, Iwao

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
  • fYear
    1995
  • fDate
    2-6 Apr 1995
  • Firstpage
    205
  • Abstract
    One of important properties of a multihop network is the mean internodal distance for evaluating transmission delay. The connective semi-random network achieves a smaller mean internodal distance than other networks. However, the results have only been obtained by computer simulation and no theoretical analysis has been performed. In this paper, we theoretically analyze the mean internodal distance of a connective semi-random network. Moreover, we also theoretically analyze a restricted connective semi-random network whose network connective probability is larger than that of a conventional connective semi-random network. It is shown that the theoretical analyzed results agree well with the simulated results in a conventional model and our model with small restriction. The influence of restriction on the mean internodal distance becomes small as the number of outgoing links per node becomes large
  • Keywords
    probability; random processes; telecommunication networks; computer simulation; connective semi-random networks; mean internodal distance; multihop network; network connective probability; outgoing links; performance analysis; transmission delay; Aggregates; Analytical models; Computational modeling; Computer simulation; Hypercubes; Performance analysis; Propagation delay; Spread spectrum communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM '95. Fourteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Bringing Information to People. Proceedings. IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    0743-166X
  • Print_ISBN
    0-8186-6990-X
  • Type

    conf

  • DOI
    10.1109/INFCOM.1995.515878
  • Filename
    515878