| 基于反馈机制的自愈算法 |
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| 引用本文： | 赵季红,曲 桦,陈文东.基于反馈机制的自愈算法[J].通信学报,2012(1):1-9. |
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| 作者姓名： | 赵季红 曲 桦 陈文东 |
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| 作者单位： | 西安交通大学电子与信息工程学院;西安邮电学院通信与信息工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(60872058,61071126);国家高技术研究发展计划(“863”计划)基金资助项目(2009AA01Z213);新一代宽带无线移动通信网国家科技重大专项基金资助项目~~ |
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| 摘 要： | 提出了一种网络自愈算法,当网络中的节点发生故障或链路出现拥塞时,该算法利用Q学习的反馈机制、多QoS约束的评价函数和基于Boltzmann-Gibbs分布的路径选择策略,自适应地选择恢复路径,降低了选择发生故障和拥塞路径的概率,从而实现了自愈。仿真结果表明,该算法在恢复率、区分业务能力和网络资源优化等方面,表现出了良好的性能。
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| 关 键 词： | 故障恢复 网络自愈 Q学习 多QoS约束 区分业务 资源优化 |
Self-healing algorithm based on feedback mechanism |
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| ZHAO Ji-hong,QU Hua,CHEN Wen-dong.Self-healing algorithm based on feedback mechanism[J].Journal on Communications,2012(1):1-9. |
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| Authors: | ZHAO Ji-hong QU Hua CHEN Wen-dong |
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| Institution: | 1(1.School of Electronic and Information Engineering,Xi’an Jiaotong University,Xi’an 710049,China; 2.School of Telecommunications and Information Engineering,Xi’an University of Posts & Telecommunications,Xi’an 710061,China) |
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| Abstract: | A network self-healing algorithm was presented.The proposed algorithm reduced the probability of selecting the failure or congestion paths and achieved self-healing by selecting recovery path adaptively when the nodes failure or link congestion in the network,which was based on Q-learning feedback mechanism,multi-QoS constrained of the evaluation function and path selection strategy using Boltzmann-Gibbs distribution.Simulation results show that the proposed algorithm outperforms in the recovery rate,the diffserv-aware capability and network resource optimization. |
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| Keywords: | failure recovery self-healing Q-learning multi-QoS constraints diffserv-aware resource optimization |
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