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SUPPORTING MULTIMEDIA STREAMING AMONG MOBILE AD-HOC
PEERS WITH LINK AVAILABILITY PREDICTION
by
Min Qin
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Ful¯llment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
December 2007
Copyright 2007 Min Qin
Object Description
| Title | Supporting multimedia streaming among mobile ad-hoc peers with link availability prediction |
| Author | Qin, Min |
| Author email | mqin@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Thesis |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2007-05-08 |
| Date submitted | 2007 |
| Restricted until | Unrestricted |
| Date published | 2007-09-17 |
| Advisor (committee chair) | Zimmermann, Roger |
| Advisor (committee member) |
Kuo, Jay C.C. Neumann, Ulrich Chew, Elaine |
| Abstract | Numerous types of handheld devices are becoming popular with end users, who increasingly use them to carry multimedia content on the go. As wireless connectivity is integrated into these devices, streaming multimedia content among mobile ad-hoc peers is becoming a popular application. One of the most important challenges in streaming multimedia content among mobile ad-hoc peers is to deliver the content, usually large in size, over a dynamic peer-to-peer based network where link availability is constantly changing. Hence, an accurate prediction of future link condition is very important and allows, for example, the selection of the most stable link when a multimedia object is available from multiple peers. However, existing techniques often simplify the problem by calculating average link durations, fixing node locations or assuming a constant wireless bandwidth. Additionally, they often do not utilize the current node information in predicting future link status.; To help improve mobile streaming applications, a mathematical model for predicting future link status between two mobile ad-hoc peers is presented. This model comprises of two parts, a continuous link availability model and a simple link quality model. The link availability model applies a novel iterative algorithm to predict the distribution of link durations, which is of crucial importance to streaming applications. The link quality model works with the IEEE 802.11 auto-rate fallback scheme, which reflects the wireless bandwidth variations in an open environment. By combining these two models, a recursive algorithm is presented to calculate the probability to stream a multimedia object between two mobile ad-hoc peers. Simulation results show that this algorithm can accurately model the robustness of a mobile streaming process.; The proposed mathematical model identifies various possible improvements for future mobile streaming applications. To demonstrate its usefulness, a new streaming strategy based on the Scalable Video Coding (SVC) scheme is introduced. This strategy can improve video content delivery between mobile ad-hoc peers by adaptively selecting the number of enhancement layers to be streamed. Simulation results show that this strategy can greatly enhance the probability to stream a video sequence while keeping the video quality high. |
| Keyword | multimedia streaming; mobile ad-hoc networks; link availability; random walk |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Type | texts |
| Legacy record ID | usctheses-m823 |
| Rights | Qin, Min |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Qin-20070917 |
| Archival file | uscthesesreloadpub_Volume32/etd-Qin-20070917.pdf |
Description
| Title | Page 1 |
| Full text | SUPPORTING MULTIMEDIA STREAMING AMONG MOBILE AD-HOC PEERS WITH LINK AVAILABILITY PREDICTION by Min Qin A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful¯llment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) December 2007 Copyright 2007 Min Qin |
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