首页> 外文会议>IEEE International Conference on Computational Science and Engineering;IEEE/IFIP International Conference on Embedded and Ubiquitous Computing >A Practical Joint Network-Compressed Coding Scheme for Energy-Efficient Data Gathering in Cooperative Wireless Sensor Networks
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A Practical Joint Network-Compressed Coding Scheme for Energy-Efficient Data Gathering in Cooperative Wireless Sensor Networks

机译:实用的联合网络压缩编码方案,用于协作无线传感器网络中的节能数据收集

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Energy efficiency and reliability are a pair of the most important factors in wireless sensor networks (WSNs). Recent research results have demonstrated that the previously suggested scheme of the joint network-coding-compressive-sensing can greatly improve the energy efficiency and the communication reliability of WSNs. In this paper, we propose a practical scheme, Non-Binary Joint Network-Coding Compressed-Sensing(NB-JNCCS), for energy-efficient multi-hop communication in cooperative WSNs. Specially, NB-JNCCS combines non-binary compressive sensing and random linear network coding through iterative joint decoding, which helps to fully exploit the compressibility and redundancy residing in both compressed sensing and network codes, respectively. Through both simulation and analysis, we demonstrate the proposed NB-JNCCS outperforms other compared schemes.
机译:能源效率和可靠性是无线传感器网络(WSN)中最重要的一对。最近的研究结果表明,先前提出的联合网络编码-压缩感知方案可以大大提高无线传感器网络的能量效率和通信可靠性。在本文中,我们提出了一个实用的方案,即非二进制联合网络编码压缩感知(NB-JNCCS),用于协作型无线传感器网络中的高能效多跳通信。特别是,NB-JNCCS通过迭代联合解码将非二进制压缩感知和随机线性网络编码相结合,这有助于充分利用压缩感知和网络代码中的可压缩性和冗余性。通过仿真和分析,我们证明了拟议的NB-JNCCS优于其他比较方案。

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