Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 98 === Distributed source coding (DSC) can be used to compress multiple correlated sensor measurements. These sensors send their compressed data to a central station for joint decoding. However, the issue on designing an optimal transmission scheduling scheme of DSC...

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Main Authors: Wei-MinTsai, 蔡偉民
Other Authors: Sheng-Tzong Cheng
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/06486782316042056144
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spelling ndltd-TW-098NCKU53920572015-11-06T04:03:59Z http://ndltd.ncl.edu.tw/handle/06486782316042056144 Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks 無線感測網路之階層狀分散式訊源編碼技術與最佳化傳輸排程 Wei-MinTsai 蔡偉民 碩士 國立成功大學 資訊工程學系碩博士班 98 Distributed source coding (DSC) can be used to compress multiple correlated sensor measurements. These sensors send their compressed data to a central station for joint decoding. However, the issue on designing an optimal transmission scheduling scheme of DSC packets for WSNs have not been well addressed in the literature. In this work, we proposed a novel DSC coding topology – hierarchical coding topology, which is a construction of inter-node coding dependency with sensing-driven and correlated manner. And the interaction between hierarchical coding topology and transmission will be considered. We optimize the transmission behavior of DSC nodes to achieve better decoding quality. Our proposing approach can further be practically applied to any WSN topologies with correlated source coding nodes. Simulation shows that our work can achieve higher decoding accuracy and compression rate than previous approaches, and the decoding accuracy would not have much degradation under the error-prone wireless environment. Sheng-Tzong Cheng 鄭憲宗 2010 學位論文 ; thesis 42 en_US
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description 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 98 === Distributed source coding (DSC) can be used to compress multiple correlated sensor measurements. These sensors send their compressed data to a central station for joint decoding. However, the issue on designing an optimal transmission scheduling scheme of DSC packets for WSNs have not been well addressed in the literature. In this work, we proposed a novel DSC coding topology – hierarchical coding topology, which is a construction of inter-node coding dependency with sensing-driven and correlated manner. And the interaction between hierarchical coding topology and transmission will be considered. We optimize the transmission behavior of DSC nodes to achieve better decoding quality. Our proposing approach can further be practically applied to any WSN topologies with correlated source coding nodes. Simulation shows that our work can achieve higher decoding accuracy and compression rate than previous approaches, and the decoding accuracy would not have much degradation under the error-prone wireless environment.
author2 Sheng-Tzong Cheng
author_facet Sheng-Tzong Cheng
Wei-MinTsai
蔡偉民
author Wei-MinTsai
蔡偉民
spellingShingle Wei-MinTsai
蔡偉民
Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks
author_sort Wei-MinTsai
title Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks
title_short Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks
title_full Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks
title_fullStr Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks
title_full_unstemmed Hierarchical Distributed Source Coding Scheme and Optimal Transmission Scheduling for Wireless Sensor Networks
title_sort hierarchical distributed source coding scheme and optimal transmission scheduling for wireless sensor networks
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/06486782316042056144
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