Cart (Loading....) | Create Account
Close category search window
 

A QoS-aware residential gateway with bandwidth management

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)
Wen-Shyang Hwang ; Nat. Kaohsiung Univ. of Appl. Sci., Taiwan ; Pei-Chen Tseng

The residential gateway (RG) is the core device of the digital home network. The RG translates communication protocols, coordinates information sharing and serves as a gateway to external networks for integrated multimedia entertainment, on-line services, home security, home automation, information exchange and data storage. Modern home network applications especially for real-time are demanding guaranteed quality of service (QoS) for bounded network bandwidth resources. In order to initiate a DiffServ-QoS (differentiated services-QoS) bandwidth management mechanism during network congestion, this paper proposes a QRG (QoS-aware residential gateway) with both real-time traffic monitoring, DiffServ-QoS and CBQ bandwidth management. Firstly, QRG classifies traffic flow into separate types, with specialized treatment per traffic type to optimize compliance with user-specified priorities. Applications with higher priority get the right to deliver first. Additionally, QRG with built-in traffic control function adopts class based queuing (CBQ) as DiffServ-QoS bandwidth/traffic management for optimized use of bounded network resources. QRG is experimentally implemented on a Linux platform. High-end application is simulated by hosting QRG in a general-purpose PC, while minimum-cost modular application is simulated by hosting QRG in a light-weight low-power ARM920T embedded system. Results show that in both implementations, QRG successfully performs DiffServ-QoS and CBQ bandwidth management functions so that good quality of service and video performance are maintained during network congestion.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:51 ,  Issue: 3 )

Date of Publication:

Aug. 2005

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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.