计算机应用 ›› 2016, Vol. 36 ›› Issue (12): 3256-3261.DOI: 10.11772/j.issn.1001-9081.2016.12.3256

• 网络与通信 • 上一篇    下一篇

基于超级节点MAC中继的复域分布检测非正交网络编码

黄成兵1,2, 唐刚2, 王波1   

  1. 1. 西南交通大学 信息科学与技术学院, 成都 610031;
    2. 阿坝师范学院 计算机科学系, 四川 汶川 623002
  • 收稿日期:2016-06-14 修回日期:2016-09-03 出版日期:2016-12-10 发布日期:2016-12-08
  • 通讯作者: 黄成兵
  • 作者简介:黄成兵(1980-),男,四川宜宾人,副教授,硕士,CCF高级会员,主要研究方向:无线传感器网络;唐刚(1980-),男,四川蓬安人,讲师,硕士,主要研究方向:数论、图论;王波(1991-),男,湖北洪湖人,硕士研究生,主要研究方向:嵌入式技术。
  • 基金资助:
    四川省教育厅自然科学重点基金资助项目(14ZA0306);阿坝师范学院重点基金资助项目(ASA12-23)。

Non-orthogonal network coding for complex field distributed detection based on super node MAC relay

HUANG Chengbing1,2, TANG Gang2, WANG Bo1   

  1. 1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
    2. Department of Computer Science, Aba Teachers University, Wenchuan Sichuan 623002, China
  • Received:2016-06-14 Revised:2016-09-03 Online:2016-12-10 Published:2016-12-08
  • Supported by:
    This work is partially supported by the Natural Science Fund of Education Department of Sichuan Province (14ZA0306), the Key Fund Aba Teachers of University(ASA12-23)

摘要: 为解决正交通信过程存在的数据发送等待问题,提出一种基于超级节点多接入信道(MAC)中继的复域分布检测非正交网络编码策略。首先,对经典正交信道分布检测技术进行介绍,并针对其存在的问题,使用中继MAC无线传感器网络,把复数域网络编码技术应用在无线传感器网络中,有助于实现协同分集降低信道衰落不利影响。其次,针对中继MAC复数域网络编码正交信道分布检测技术,基于传感器的虚警率和检测概率,提出结合网络符号差错概率的最大似然(ML)最佳传感器标签选择算法,降低误差概率,同时通过超级节点近似,获得中继功率和总发射功率的公平分配。仿真结果显示,该算法在非正交网络编码检测中,检测率指标可达到91.3%,而错误率指标仅为25.1%。实验结果表明,该算法可以有效地提高非正交网络编码算法在实际应用中的检测性能。

关键词: 超级节点, 无线中继, 分布检测, 非正交, 网络编码, 复数域

Abstract: In order to solve the waiting problem of data transmission in the process of orthogonal communication, a non-orthogonal network coding strategy for complex field distributed detection based on super node Multiple Access Channel (MAC) relay was proposed. Firstly, the classical orthogonal channel distribution detection technology was introduced, and aiming at its existing problems, the relay MAC was used in wireless sensor networks, and the complex network coding technology was also used in wireless sensor networks, which contributed to achieve cooperative diversity to reduce the adverse effects of channel fading. Secondly, according to the relay MAC complex field network coding based orthogonal channel distribution detection technology, a Maximum Likelihood (ML) optimal sensor label selection algorithm based on network symbol error probability was proposed to reduce error probability, which considered the false alarm rate and detection probability of sensor. At the same time, the fair distribution of relay power and total transmit power was obtained by the super node approximation. The simulation results show that, in the detection of non-orthogonal network coding, the detection rate of the proposed algorithm can achieve 91.3%, and the error rate is only 25.1%. The proposed algorithm can effectively improve the detection performance of non-orthogonal network coding algorithm in practical applications.

Key words: super node, wireless relay, distributed detection, non-orthogonal, network coding, complex field

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