• DocumentCode
    2595797
  • Title

    An Admission Control Scheme for Sensor Networks

  • Author

    Xiaoming, Wang ; Guoxiang, Yao ; Zhen, Zhang

  • Author_Institution
    Dept. of Comput. Sci., Jinan Univ., Guangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    A way of evaluation of a topology structure model, especially the Internet topology structure model, was studied. SLS (Signless Laplacian Spectra), is used to quantitatively identify the topology properties of the Internet generated by the model and the Internet out of real measuring. SLS eigenvectors could be gained out of this procedure, then a cross-correlation algorithm was performed on the eigenvectors to give the difference identification in a quantitative way. With this, a specific way of using the estimation approach within a Genetic Algorithm was finally given.
  • Keywords
    Internet; eigenvalues and eigenfunctions; genetic algorithms; network topology; security of data; wireless sensor networks; Internet topology structure model; SLS eigenvectors; admission control scheme; genetic algorithm; sensor networks; Access control; Access protocols; Admission control; Authentication; Computer science; Computer security; Elliptic curves; Frequency; Public key cryptography; Wireless sensor networks; admission control; authentication; sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-4011-5
  • Electronic_ISBN
    978-1-4244-6598-9
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2010.205
  • Filename
    5480690