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Optimization of layered multicast with network coding and genetic algorithm
  • ISSN号:1005-8885
  • 期刊名称:《中国邮电高校学报:英文版》
  • 时间:0
  • 分类:TP311[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] O242.23[理学—计算数学;理学—数学]
  • 作者机构:[1]School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China, [2]School of Information Engineering, Yanshan University, Qinhuangdao 066004, China
  • 相关基金:Acknowledgements This work was supported by the National Natural Science Foundation of China (60832001), the Science and Technology Supporting Project of Hebei Province of China (072135169), and the Postgraduate Innovation Fund of BUPT.
中文摘要:

这篇文章学习构造的问题最佳分层与网络为异构的网络编码多点传送。基于分层的 source coding 的灵活性,一个全球有利的优化计划被建议,它最大化异构的水池节点的总数产量为分层与网络由决定层的最佳的位率编码多点传送。为了解决这个全球有利的优化计划,特别在大规模异构的网络,一个新问题特定的基因算法(GA ) 进一步被建议。它不仅高效地寻找层位率的最佳的分配,而且在整个进化进程保证候选人解决方案的有效性。模拟结果证明这个新基于 GA 的优化计划能高效地获得最佳或令人满意地在最佳附近的小点率为分层与网络编码多点传送,甚至在大规模异构的网络。

英文摘要:

This article studies the problem of constructing optimal layered multicast with network coding for heterogeneous networks. Based on the flexibility of layered source coding, a global-favorable optimization scheme is proposed, which maximizes the aggregate throughput of heterogeneous sink nodes for layered multicast with network coding by determining the optimal bit rates of the layers. To solve this global-favorable optimization scheme, especially in the large-scale heterogeneous networks, a new problem-specific genetic algorithm (GA) is further proposed. It not only searches efficiently for the optimal allocation of layer bit rates, but also guarantees the validity of candidate solutions that this new GA-based optimization scheme could obtain layered multicast with network coding, even in the large-scale in the whole evolutionary process. Simulation results demonstrate efficiently the optimal or satisfactorily near-optimal bit rates for heterogeneous networks.

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期刊信息
  • 《中国邮电高校学报:英文版》
  • 主管单位:高教部
  • 主办单位:北京邮电大学、南邮、重邮、西邮、长邮、石邮
  • 主编:LU Yinghua
  • 地址:北京231信箱(中国邮电大学)
  • 邮编:100704
  • 邮箱:jchupt@bupt.edu.cn
  • 电话:010-62282493
  • 国际标准刊号:ISSN:1005-8885
  • 国内统一刊号:ISSN:11-3486/TN
  • 邮发代号:2-629
  • 获奖情况:
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  • 被引量:127