Quality differentiated video multicast in multirate wireless networks

255 views
216 views

Published on


Bulk Projects For sale

IEEE 2009-10-11-12-13 PAPERS AVILABLE.

We are providing low cost project for final year student projects.

Solved 2010 -2011 -2012 - 2013 IEEE in all the domain

Mobile : 8940956123

E-Mail : ambitlick@gmail.com,

INNOVATIVE TITLES ARE ALSO WELLCOME TO DO WITH US


For All BE/BTech, ME/MTech, MSC/MCA/MS , and diplamo graduates

PROJECT SUPPORTS & DELIVERABLES

•Project Abstract
•IEEE Paper
•PPT / Review Details
•Project Report
•Working Procedure in Video
•Screen Shots
•Materials & Books in CD
•Project Certification

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
255
On SlideShare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
1
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Quality differentiated video multicast in multirate wireless networks

  1. 1. Ambit lick Solutions Mail Id: Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com Quality-Differentiated Video Multicast in Multirate Wireless Networks Adaptation of modulation and transmission bit-rates for video multicast in a multirate wireless network is a challenging problem because of network dynamics, variable video bit-rates, and heterogeneous clients who may expect differentiated video qualities. Prior work on the leader-based schemes selects the transmission bit-rate that provides reliable transmission for the node that experiences the worst channel condition. However, this may penalize other nodes that can achieve a higher throughput by receiving at a higher rate. In this work, we investigate a rate-adaptive video multicast scheme that can provide heterogeneous clients differentiated visual qualities matching their channel conditions. We first propose a rate scheduling model that selects the optimal transmission bit-rate for each video frame to maximize the total visual quality for a multicast group subject to the minimum-visual-quality-guaranteed constraint. We then present a practical and easy-to-implement protocol, called QDM, which constructs a cluster-based structure to characterize node heterogeneity and adapts the transmission bit-rate to network dynamics based on video quality perceived by the representative cluster heads. Since QDM selects the rate by a sample-based technique, it is suitable for real-time streaming even without any preprocess. We show that QDM can adapt to network dynamics and variable video-bit rates efficiently, and produce a gain of 2-5 dB in terms of the average video quality as compared to the leader-based approach.

×