IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Wireless Communications, Netw ... Help

A method of classifying multimedia traffic flows based on neural network

Full Text Sign-In or Purchase

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing! close button
puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xue Jiansheng ; Network & Commun. Center, Northeastern Univ., Shenyang, China ; Wang Guangxing

A new method of classifying multimedia traffic flows was proposed for the next generation Internet (NGI). By analyzing the time level correlation of traffic flows, a model of competitive artificial neural network was designed to identify and classify different traffic flows and modulate them which can help to marking the Ipv6 flow label. Simulation result shows that the method can increase the precision of classification, and has little impact on the throughput of border gateway, has actual value.

Published in:
Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on  (Volume:2 )

Date of Conference: 23-26 Sept. 2005

Page(s):
1249 - 1252
Print ISBN:
0-7803-9335-X
INSPEC Accession Number:
8775636
Digital Object Identifier :
10.1109/WCNM.2005.1544281
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.