Joint Disrtibuted Source and Network Coding

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Etemadi Tajbakhsh, Shahriar | 2008

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Type of Document: M.Sc. Thesis
Language: English
Document No: 39262 (52)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Movaghar Rahimabadi, Ali
Abstract:
Network coding, as a novel technique, suggests that the intermediate nodes of a network can combine independent flows to optimize the usage of a shared communication channel. Also, distributed source coding, exploits the joint statistics of correlated information sources to reduce the volume of transmitted information. Surprisingly, it has been shown that linear network codes are able to compress correlated sources. In this project, we have focused on this problem, i.e. joint distributed source and network coding. We have two important contributions with different directions. First we give a practical design for joint coding. Second, we use an evolutionary approach to find the best placement of correlated sources on the network graph using a linear programming approach
Keywords:
Network Coding ; Evolutionary Algorithm ; Linear Programming ; Distributed Source Coding ; Opportunism

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