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

机译:无线传感器网络的分层分布式源编码方案和最优传输调度

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摘要

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 scheme - hierarchical coding scheme, which exploits inter-node coding dependency in sensing-driven and correlated manner. In addition, the interaction between hierarchical coding topology and transmission is considered. We optimize the transmission schedule of DSC nodes to achieve better decoding quality. Our approach can 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.
机译:分布式源编码(DSC)可用于压缩多个相关的传感器测量值。这些传感器将其压缩数据发送到中央站进行联合解码。然而,在文献中没有很好地解决关于设计用于WSN的DSC分组的最佳传输调度方案的问题。在这项工作中,我们提出了一种新颖的DSC编码方案-分层编码方案,该方案以感知驱动和相关的方式利用了节点间编码的依赖性。另外,考虑了分层编码拓扑和传输之间的交互。我们优化了DSC节点的传输时间表,以实现更好的解码质量。我们的方法可以实际应用于具有相关源编码节点的任何WSN拓扑。仿真表明,我们的工作比以前的方法可以获得更高的解码精度和压缩率,并且在容易出错的无线环境下,解码精度不会有太大的下降。

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