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Abstract:
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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 . |