基于马尔可夫链的水下移动网络可靠性研究

梁庆卫; 孙天元; 蒋姗姗

doi:10.11993/j.issn.1673-1948.2014.03.002

基于马尔可夫链的水下移动网络可靠性研究

doi: 10.11993/j.issn.1673-1948.2014.03.002

西北工业大学航海学院, 陕西西安, 710072

详细信息

作者简介:
梁庆卫(1970-), 女, 博士, 副教授, 研究方向为可靠性与系统工程.

中图分类号: TJ630; TB114.3
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- 被引次数: 0
出版历程
- 收稿日期: 2014-01-13
- 修回日期: 2014-01-27
- 刊出日期: 2014-06-20

Computing Reliability of Underwater Mobile Communication Network Based on Markov Chain Theory

College of Marine Engineering, Northwestern Polytechnical University, Xi′an 710072, China

摘要

摘要: 水下移动通信网络随着水下通信和传感器技术的发展, 其应用越来越广泛, 其可靠性研究是信息传输效率和质量的重要保证。本文比较了传统通信可靠性研究方法, 提出了一种计算水下移动节点网络可靠性的方法——基于马尔可夫模型的水下移动通信可靠性计算方法。该方法把网络状态进行简化归类, 利用马尔可夫理论建模, 计算求出网络稳定状态的概率, 通过与通信网络某一指标的可靠性概率矩阵相乘, 求出量化的可靠性。经过验证, 该方法大大降低了建模的复杂程度, 可以求出移动节点网络的可靠性, 简化了运算。
- 可靠性 /
- 水下移动通信网络 /
- 马尔可夫链 /
- 状态归类
Abstract: With the development of underwater communication and sensor technology, the underwater mobile commu-nication network has been widely applied. Its reliability refers to the efficiency and quality of the information transmis-sion. This paper proposes a method for computing the reliability of the underwater mobile communication network based on Markov chain model. In this method, the states of the underwater mobile communication network are simplified and classified to get the probability matrix of the network′s stable state via modeling with Markov chain theory. Quantitative reliability is hence obtained through multiplying the probability matrix of a communication index′s reliability. Verifica-tion indicates that this method significantly reduces complexity of modeling, and can compute reliability of underwater mobile communication network with simplified operation.
- reliability /
- underwater mobile communication network /
- Markov chain /
- state classification

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参考文献(14)

[1]	吴小平. 多AUV协调控制技术研究[D]. 上海: 上海交通大学, 2008.
[2]	陈威. 水声通信网及多址接入技术的研究[D]. 厦门: 厦门大学, 2007.
[3]	史长亭. 水下机器人智能决策系统可靠性研究[D]. 哈尔滨: 哈尔滨工程大学, 2006.
[4]	冯海林. 网络系统中可靠性问题的研究[D]. 西安: 西安电子科技大学, 2004.
[5]	李琳琳, 梅生, 李钊, 等. 基于最短路径的网络可靠性评估算法[J]. 无线电工程, 2011, 41(7): 5-7. Li Lin-lin, Mei Sheng, Li Zhao, et al. Research on Net- work Reliability Evaluation Algorithm Based on the Shor- test Path[J]. Radio Engineering of China, 2011, 41(7):5-7.
[6]	Yeh W C. A Path-based Algorithm for Evaluating the K-out-of-n Flow Network Reliability[J]. Reliability Engi- neering and System Safety, 2005, 87(2): 243-251.
[7]	Hardy G, Lucet C, Limnios N. K-terminal Network Reliability Measures with Binary Decision Diagrams[J]. IEEE Transactions on Reliability, 2007, 56(3): 506-515.
[8]	Qin Dan-yang, Ma Lin. An Effective Routing Reliability Model for Mobile Ad Hoc Network[C]//In Proceedings of First International Conference on Future Information Net- works, 2009.
[9]	Relex Software Co.& Intellect. 可靠性实用指南[M]. 北京: 北京航天航空大学出版社, 2005.
[10]	靳超, 李德敏, 佟乐, 等. 一种高斯-马尔科夫自组网组移动模型[J]. 通信技术, 2011, 44(2): 59-61. Jin Chao, Li De-min, Tong Le, et al. Gauss-Markov Group Mobility Model for Ad Hoc Networks[J]. Communi- cations Technology, 2011, 44(2): 59-61.
[11]	宋保维. 水下航行器现代设计理论与方法[M]. 西安: 西北工业大学出版社, 2004.
[12]	苏光伟. 基于马尔科夫模型的通用隐秘检测技术[J]. 计算机工程与应用, 2011, 47(35), 103-105, 121. Su Guang-wei. Universal Steganalysis Based on Markov Model[J]. Computer Engineering and Applications, 2011, 47(35): 103-105, 121.
[13]	刘奇志. 基于马尔科夫链的网络决策分析方法[J]. 系统工程理论与实践, 2011, 35(S1), 134-146. Liu Qi-zhi. Analytic Network Process Decision Making Approach Based on Markov Chain[J]. Systems Engi- neering-Theory & Practice, 2011, 35(S1): 134-146.
[14]	高明亮, 谢强. 无线通信可靠性研究[J]. 自动化与仪器仪表, 2010(2): 17, 21. Gao Ming-liang, Xie Qiang. The Study of Dependence in Weirless Communication[J]. Automation & Instrumen- tation, 2010(2): 17, 21.