基于动态贝叶斯网络的健壮报头压缩算法

摘要：空间飞行系统采用IP协议承载，相比传统的无线通信方式具有更高的数据速率和应用灵活性。为了解决低带宽、高误码率等问题，需要采用高效可靠的报头压缩算法来提高有效载荷效率。但是，由于无线环境的复杂多变，以及空间飞行系统的高速机动性，无线信道传输质量会发生动态的变化，一般的压缩算法无法很好地适应这种时变特性。为此，提出一种基于动态贝叶斯网络的健壮报头压缩算法DB—ROHC。DB-ROHC根据解压端离散的历史丢包观测序列，动态调整关键压缩参数，达到压缩率和健壮性的较好均衡。仿真结果表明，与传统的健壮压缩算法相比，该算法在复杂无线链路中健壮性更优和有效带宽更大。...

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Bibliographic Details
Published in计算机工程与科学 Vol. 39; no. 1; pp. 61 - 66
Main Author 周伟 赵宝康 刘波 吴少康 李琰 刘华
Format Journal Article
LanguageChinese
Published 75835部队,广东广州510600 2017
国防科学技术大学计算机学院,湖南长沙,410073%国防科学技术大学计算机学院,湖南长沙410073
Subjects
健壮性
动态贝叶斯网络
报头压缩
header compression
robust
报头压缩
动态贝叶斯网络
健壮性
dynamic Bayesian network
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ISSN1007-130X
DOI10.3969/j.issn.1007-130X.2017.01.008

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Summary:摘要：空间飞行系统采用IP协议承载，相比传统的无线通信方式具有更高的数据速率和应用灵活性。为了解决低带宽、高误码率等问题，需要采用高效可靠的报头压缩算法来提高有效载荷效率。但是，由于无线环境的复杂多变，以及空间飞行系统的高速机动性，无线信道传输质量会发生动态的变化，一般的压缩算法无法很好地适应这种时变特性。为此，提出一种基于动态贝叶斯网络的健壮报头压缩算法DB—ROHC。DB-ROHC根据解压端离散的历史丢包观测序列，动态调整关键压缩参数，达到压缩率和健壮性的较好均衡。仿真结果表明，与传统的健壮压缩算法相比，该算法在复杂无线链路中健壮性更优和有效带宽更大。
Bibliography:43-1258/TP
header compression; robust; dynamic Bayesian network
ZHOU Wei1 ,ZHAO Bao-kang1 ,LIU Bo1 ,WU Shao-kang1 ,LI Yan1 ,LIU Hua1,2 （ 1. College of Computer, National University of Defense Technology, Changsha 410073; 2. Troop 75835, Guangzhou 510600, China）
Space flight systems use the IP protocol to carry information, which has a higher data rate and application flexibility in comparison with traditional wireless communication. In order to solve the problems of low-bandwidth and high error rate, we need an efficient and reliable header compression algorithm to improve payload efficiency. However, due to the complex wireless environment, as well as high-speed maneuverability of space flight systems, the transmission quality of the radio channel changes dynamically, and the protocol cannot be better suited for such a time-varying characteristic. We propose a robust header compression algorithm based on dynamic Bayesian network named DB-ROHC. Accord- ing to discrete historical loss packet observation sequence
ISSN:1007-130X
DOI:10.3969/j.issn.1007-130X.2017.01.008