A reliable data transmission scheme based on compressed sensing and network coding for multi-hop-relay wireless sensor networks
A reliable data transmission scheme based on compressed sensing and network coding for multi-hop-relay wireless sensor networks
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基于压缩感知和网络编码的多跳中继无线传感器网络可靠数据传输方案
DOI：
10.1016/j.compeleceng.2015.12.025
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发表时间：
2016-11
影响因子：
4.3
通讯作者：
Yan Xiaoyong
中科院分区：
文献类型：
--
作者：
Yin Jun;Yang Yuwang;Wang Lei;Yan Xiaoyong
多径路由和网络编码（NC）联合方法提高了多跳中继无线传感器网络（WSNs）的可靠性和能效。然而，NC是一种“全有或全无”的编码：目的节点不能解码任何信息，除非它成功地接收到与原始数据包一样多的NC编码数据包。观察到无线传感器网络通常测量具有高度相关性的物理信号，在本文中，我们提出了一种结合压缩感知（CS）的更深思熟虑的方案。根据所提出的测量和恢复方法，我们证明了原始数据可以逐步恢复，同时保留了基于nc的方案的优点。并对所提方案与其他现有方案的性能进行了详细的数学分析。实验结果表明了该方法的有效性和鲁棒性。
The joint multipath routing and Network Coding (NC) method has been shown to improve the reliability and energy efficiency of multi-hop-relay wireless sensor networks (WSNs). However, NC is a kind of “all-or-nothing” code: the destination node cannot decode any information unless it successfully receives as many NC coded packets as the raw ones. Observed that WSNs often measure physical signals which show a high degree of correlation, in this paper, we propose a more deliberated scheme combined with Compressed Sensing (CS). Depending on the proposed measurement and recovery method, we prove that the original data can be recovered progressively while preserving the advantage of NC-based scheme. Detailed mathematical analysis of the performance of our proposed scheme along with other existing schemes is given. The experimental results also show the efficiency and robustness of the proposed scheme.
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DOI：
10.1145/501449.501452
发表时间：
2001-10
期刊：
--
影响因子：
--
作者：
Deepak Ganesan;R. Govindan;S. Shenker;D. Estrin
通讯作者：
Deepak Ganesan;R. Govindan;S. Shenker;D. Estrin
DOI：
10.1145/1282380.1282400
发表时间：
2007-10
期刊：
--
影响因子：
--
作者：
Szymon Jakubczak;M. Jennings;S. Katti;D. Katabi
通讯作者：
Szymon Jakubczak;M. Jennings;S. Katti;D. Katabi
DOI：
10.1186/1687-1499-2012-115
发表时间：
2012-03
影响因子：
2.6
作者：
Lei Wang;Yuwang Yang;Wei Zhao
通讯作者：
Lei Wang;Yuwang Yang;Wei Zhao
影响因子：
2.8
作者：
Chachulski, Szymon;Jennings, Michael;Katabi, Dina
通讯作者：
Katabi, Dina
DOI：
10.1109/jsac.2009.090605
发表时间：
2009-06
期刊：
2008 The 28th International Conference on Distributed Computing Systems
影响因子：
--
作者：
Xinyu Zhang;Baochun Li
通讯作者：
Xinyu Zhang;Baochun Li