信息网络安全 ›› 2015, Vol. 15 ›› Issue (3): 64-68.doi: 10.3969/j.issn.1671-1122.2015.03.013

• 技术研究 • 上一篇    下一篇

基于数字喷泉码相关链提取的水声传感器网络HARQ协议

段晋珏, 赵旦峰(), 梁明珅   

  1. 哈尔滨工程大学信息与通信学院,黑龙江哈尔滨 150001
  • 收稿日期:2015-01-21 出版日期:2015-03-10 发布日期:2015-05-08
  • 作者简介:

    作者简介: 段晋珏(1989-),女,山西,硕士研究生,主要研究方向:数字喷泉码;赵旦峰(1961-),男,湖南,教授,博士,主要研究方向:网络编码、水声通信网络、高性能编码与调制;梁明珅(1983-),男,吉林,博士研究生,主要研究方向:水声传感器网络与网络编码。

  • 基金资助:
    国家自然科学基金[61371099]

HARQ Protocol for Underwater Acoustic Sensor Networks Based on Fountain Codes Correlation Chain Abstraction

DUAN Jin-jue, ZHAO Dan-feng(), LIANG Ming-shen   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin Heilongjiang 150001, China
  • Received:2015-01-21 Online:2015-03-10 Published:2015-05-08

摘要:

由于水声信道具有高噪声、高误比特率的特点,水声传感器网络链路可靠性非常差,很容易出现信息的丢失的情况。为此,文章提出了一种基于喷泉码相关链提取的HARQ协议以解决水下不可靠传输问题的方法。协议通过在接收端提取译码状况的相关链信息并反馈,使得发送端能够根据反馈信息提供更有效的重传编码,从而降低了传输冗余,提高了端到端吞吐量。在此基础上,借助OPNET网络仿真平台对提出的协议进行仿真分析,论证了提出协议同现有的UW-HARQ协议相比,能够实现更好的吞吐量与传输冗余性能。

关键词: 水声传感器网络, 数字喷泉码, 相关链提取, HARQ协议, OPNET网络仿真软件

Abstract:

Underwater acoustic sensor networks (UASNs) are prone to packet loss due to their poor link condition with high noise and high bit error rate. Therefore, a fountain codes correlation chain abstraction based HARQ protocol (CCA-HARQ) is proposed for UASNs to guarantee the reliable message delivery. The CCA-HARQ protocol could feedback the decoding status of the receiver to the sender in a more detailed way by attaching the correlation chain abstraction information in the NACK message, with which the sender could make more intelligent decisions to conduct more effective retransmission coding packets and the transmission overhead as well as the end to end throughput performance are optimized as a result. On the basis, the proposed protocol is simulated on the platform of OPNET network simulators. Simulation results demonstrate that proposed CCA-HARQ plays better than traditional UW-HARQ protocol from the perspective of transmission overhead and the end to end throughput.

Key words: underwater acoustic sensor networks, digital fountain codes, correlation chain abstraction, HARQ protocol, OPNET network simulator

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