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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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/06486782316042056144 |
| Summary: | 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.
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