Multicast networks : capacity, algorithms, and implementation

In this dissertation, we investigate the capacity and performance of wireless networks with an emphasis on multicast traffic. The defining characteristic of a multicast network is a network where a number of different destinations all require the information generated by a single source. The models...

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Main Author: Abdel Hadi, Ahmed Mohamed
Format: Others
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/2152/ETD-UT-2011-12-4495
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spelling ndltd-UTEXAS-oai-repositories.lib.utexas.edu-2152-ETD-UT-2011-12-44952015-09-20T17:04:50ZMulticast networks : capacity, algorithms, and implementationAbdel Hadi, Ahmed MohamedWireless NetworksVideo transmissionEmbedded systemsIn this dissertation, we investigate the capacity and performance of wireless networks with an emphasis on multicast traffic. The defining characteristic of a multicast network is a network where a number of different destinations all require the information generated by a single source. The models that we explore differ in the nature of the nodes from all-mobile case where all nodes are mobile to hybrid case where some nodes are mobile and some are static. We investigate different performance measure for these wireless multicast networks: upper bounds, capacity scaling laws, and achievable rates. The understanding of these measures for such networks helps in the development of efficient algorithms for operating these networks. In addition, we study the practical realization of algorithms for real-time streaming of rich multimedia content in the context of mobile wireless networks for embedded and cyberphysical systems. Our initial work is in the context of unicast and multiple unicast systems over an autonomous aerial vehicle (AAV) network. Bandwidth requirements and stringent delay constraints of real-time video streaming, paired with limitations on computational complexity and power consumptions imposed by the underlying implementation platform, make cross-layer and cross-domain co-design approaches a necessity. In this dissertation, we propose a novel, low-complexity rate-distortion optimized (RDO) protocol specifically targeted at video streaming over mobile embedded networks. First, we test the performance of our RDO algorithm on simulation models developed for aerial mobility of multiple wirelessly communicating AAVs. Second, we test the performance of our RDO algorithm and other proposed adaptive algorithms on a real network of AAVs and present a comparative study between these different algorithms. Note that generalizing these algorithms to multicast settings is relatively straightforward and thus is not highlighted to a great degree in this thesis.text2012-02-01T19:15:17Z2012-02-01T19:15:17Z2011-122012-02-01December 20112012-02-01T19:15:42Zthesisapplication/pdfhttp://hdl.handle.net/2152/ETD-UT-2011-12-44952152/ETD-UT-2011-12-4495eng
collection NDLTD
language English
format Others
sources NDLTD
topic Wireless Networks
Video transmission
Embedded systems
spellingShingle Wireless Networks
Video transmission
Embedded systems
Abdel Hadi, Ahmed Mohamed
Multicast networks : capacity, algorithms, and implementation
description In this dissertation, we investigate the capacity and performance of wireless networks with an emphasis on multicast traffic. The defining characteristic of a multicast network is a network where a number of different destinations all require the information generated by a single source. The models that we explore differ in the nature of the nodes from all-mobile case where all nodes are mobile to hybrid case where some nodes are mobile and some are static. We investigate different performance measure for these wireless multicast networks: upper bounds, capacity scaling laws, and achievable rates. The understanding of these measures for such networks helps in the development of efficient algorithms for operating these networks. In addition, we study the practical realization of algorithms for real-time streaming of rich multimedia content in the context of mobile wireless networks for embedded and cyberphysical systems. Our initial work is in the context of unicast and multiple unicast systems over an autonomous aerial vehicle (AAV) network. Bandwidth requirements and stringent delay constraints of real-time video streaming, paired with limitations on computational complexity and power consumptions imposed by the underlying implementation platform, make cross-layer and cross-domain co-design approaches a necessity. In this dissertation, we propose a novel, low-complexity rate-distortion optimized (RDO) protocol specifically targeted at video streaming over mobile embedded networks. First, we test the performance of our RDO algorithm on simulation models developed for aerial mobility of multiple wirelessly communicating AAVs. Second, we test the performance of our RDO algorithm and other proposed adaptive algorithms on a real network of AAVs and present a comparative study between these different algorithms. Note that generalizing these algorithms to multicast settings is relatively straightforward and thus is not highlighted to a great degree in this thesis. === text
author Abdel Hadi, Ahmed Mohamed
author_facet Abdel Hadi, Ahmed Mohamed
author_sort Abdel Hadi, Ahmed Mohamed
title Multicast networks : capacity, algorithms, and implementation
title_short Multicast networks : capacity, algorithms, and implementation
title_full Multicast networks : capacity, algorithms, and implementation
title_fullStr Multicast networks : capacity, algorithms, and implementation
title_full_unstemmed Multicast networks : capacity, algorithms, and implementation
title_sort multicast networks : capacity, algorithms, and implementation
publishDate 2012
url http://hdl.handle.net/2152/ETD-UT-2011-12-4495
work_keys_str_mv AT abdelhadiahmedmohamed multicastnetworkscapacityalgorithmsandimplementation
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