Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Cost Efficient Media Streaming Algorithms for Rate-Dependent Pricing Strategies in Heterogeneous Wireless Networks

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)
Zahran, Ahmed H. ; Dept. of Comput. Sci., Univ. Coll. Cork, Cork ; Sreenan, C.J.

The future of wireless networking is envisioned as an integrated system of wireless radio access technologies with heterogeneous features. This heterogeneity combined with the characteristic diversity of provided services create promising opportunities for improving the utility of both operators and users. In this paper, we investigate the opportunity to reduce the average cost of streaming sessions by benefiting from the system embedded heterogeneity and streaming application buffering capability. First, we analyze the optimal streaming strategy for a theoretical infinite session. Based on this analysis, we propose pseudo-optimal and greedy-optimal adaptive media streaming algorithms for heterogeneous wireless networks. The performance of these algorithms is compared to a naive greedy streaming approach using NS2 simulations. The results show that the greedy-optimal algorithm reduces the average session cost down to 73.9% of the average cost incurred on using greedy algorithm. This cost saving is realized at an insignificant increase in signaling load and session blocking probability. Hence, we strongly recommend the developed greedy-optimal algorithm for media streaming in next-generation heterogeneous wireless networks.

Published in:

Next Generation Mobile Applications, Services and Technologies, 2008. NGMAST '08. The Second International Conference on

Date of Conference:

16-19 Sept. 2008