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Research on Distributed Fountain Codes

Author: YangJie
Tutor: ZhaoZhiFeng
School: Zhejiang University
Course: Information and Communication Engineering
Keywords: Fountain codes LT code Network coding Distributed Hierarchical network Wireless sensor networks Data acquisition
CLC: TN911.2
Type: Master's thesis
Year: 2012
Downloads: 52
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Abstract


With the development of communication and Internet technology , network scale is gradually expanding. Multimedia services such as the large amount of data such as high-definition video and images are emerging , multicast and broadcast technology has been widely applied . Fountain code design is to solve reliable transmission problems in large-scale data distribution and broadcast or multicast scenario data . Due to the the fountain code encoding and decoding complexity is low , does not require any feedback channel or channel estimation to guarantee reliable transmission of data , more and more attention in the industry and academia . Given that LT codes coding simple, low decoding complexity the thesis LT code , first of all proceed from the degree of design and further improvements of the the original Strong soliton distribution and proposed iLT code . Then the thesis , as the center to achieve distributed iLT the packet coding in wireless sensor networks . Individual data packets autonomously and independently in the entire network to find other data packets encoded. Coding is the sum of almost random package coding at the same time to achieve a data acquisition function . In this paper, a new energy-efficient distributed fountain coding method of data collection , reduce the data traffic between nodes , the data acquisition process to accelerate the entire wireless sensor network . Finally, the effective integration of distributed fountain coding with opportunistic network coding is given a detailed hierarchical network coding scheme . The source side through the transmission node and the layers relay node in a hierarchical network by broadcasting the data transmitted to the receiving end . Relay nodes to take the the network coding to weaken iLT coding and opportunities combination to achieve the of routing forwarding and coding . Simulation results prove that the program is not only a significant increase in network throughput , and for the receiving end to reduce the decoding overhead , improving the recovery rate of the data , while ensuring a reliable and efficient transmission of data .

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