A QoS Routing Method for Multimedia Communication in Broadband Networks

宽带网络多媒体通信的QoS路由方法

基本信息

  • 批准号:
    16500043
  • 负责人:
  • 金额:
    $ 2.3万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2004
  • 资助国家:
    日本
  • 起止时间:
    2004 至 2005
  • 项目状态:
    已结题

项目摘要

The networks of today are going through a rapid evolution and they are expected to support a wide range of multimedia applications. The requirement for timely delivery of multimedia data raises new challenges for the next generation broadband networks. The key issue is the Quality of Service (QoS) routing. Also, ensuring the QoS demands to traffic flows and groups of flows is an important challenge for future broadband networks, and resource provisioning via Call Admission Control (CAC) is a key mechanism for achieving this. In order to support multimedia communication over broadband networks, it is necessary to develop routing algorithms which use for routing more than one QoS parameter such as throughput, delay, and loss probability. This is because new services such as video on demand and remote meeting systems require better QoS. But, the problem of QoS routing is difficult due to the following reasons. The distributed applications have very diverse QoS constraints on delay, loss r … More atio and bandwidth. Multiple constraints often make the routing problem intractable. For example, finding a feasible route with two independent path constraints is NP-complete.In our previous work, we proposed an intelligent routing and CAC strategy using cooperative agents. However, we only considered the time delay for the routing. The QoS and Congestion Control (CC) parameters were considered as indicators of QoS satisfication and congestion. The proposed a GA based routing algorithm called ARGAQ could support two QoS parameters : delay and transmission success rate. The simulation results show that ARGAQ method has better performance than a routing algorithm with only one QoS parameter called ARGA method. However, the ARGAQ method is effective only if the parameters have a relation between them and the GA fitness function can be expressed by a mathematical formula. In this work, we extend our previous work by proposing and implementing new algorithms based on Fuzzy Logic (FL) and Genetic Algorithm (GA) which use for CAC and routing many QoS parameters. The proposed GA-based multi-objective optimization algorithm uses a multi-division group model for multi-objective optimization. The simulation results show that proposed framework has a good performance and is a promising method for QoS routing and CAC decision.We also applied the proposed GA-based algorithm for QoS routing in ad-hoc networks and we showed that the proposed algorithm can be applied for ad-hoc networks. We proposed and implemented also a P2P system and Distance Learning System which show a good performance in broadband networks Less
当今的网络正在经历快速发展,并且有望支持广泛的多媒体应用。及时传送多媒体数据的要求给下一代宽带网络提出了新的挑战。关键问题是服务质量(QoS)路由。此外,确保业务流和流组的 QoS 需求是未来宽带网络的一个重要挑战,而通过呼叫准入控制 (CAC) 提供资源是实现这一目标的关键机制。为了支持宽带网络上的多媒体通信,有必要开发用于路由多个QoS参数(例如吞吐量、延迟和丢失概率)的路由算法。这是因为视频点播和远程会议系统等新服务需要更好的服务质量。但是,由于以下原因,QoS路由问题很难解决。分布式应用程序在延迟、损耗和带宽方面具有非常多样化的 QoS 约束。多重约束常常使路由问题变得棘手。例如,寻找具有两个独立路径约束的可行路线是NP完全的。在我们之前的工作中,我们提出了一种使用协作代理的智能路由和CAC策略。然而,我们只考虑了路由的时间延迟。 QoS 和拥塞控制 (CC) 参数被视为 QoS 满意度和拥塞的指标。所提出的基于 GA 的路由算法 ARGAQ 可以支持两个 QoS 参数:延迟和传输成功率。仿真结果表明,ARGAQ方法比只有一个QoS参数的路由算法(称为ARGA方法)具有更好的性能。然而,只有当参数之间存在关系并且GA适应度函数可以用数学公式表达时,ARGAQ方法才有效。在这项工作中,我们通过提出和实现基于模糊逻辑 (FL) 和遗传算法 (GA) 的新算法来扩展我们之前的工作,这些算法用于 CAC 和路由许多 QoS 参数。所提出的基于遗传算法的多目标优化算法使用多分群模型进行多目标优化。仿真结果表明,所提出的框架具有良好的性能,是一种很有前景的QoS路由和CAC决策方法。我们还将所提出的基于GA的算法应用于自组织网络中的QoS路由,并表明所提出的算法可以应用于自组织网络。我们还提出并实现了 P2P 系统和远程学习系统,它们在宽带网络中表现出了良好的性能。

项目成果

期刊论文数量(184)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Search Space Reduction Algorithm for Improving the Performance of a GA-based Routing Method in Ad-Hoc Network
一种提高 Ad-Hoc 网络中基于 GA 的路由方法性能的搜索空间缩减算法
Scalable Inter-Vehicle Communication Protocol
可扩展的车辆间通信协议
Implementation of Pure P2P Collaboration Multiplatform and Its Applications
纯P2P协作多平台的实现及其应用
A Pure P2P Synchronous Collaborative System
一种纯P2P同步协作系统
On Some Current Results of Graph Theory for Ad-hoc Networks
关于自组织网络图论的一些当前结果
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BAROLLI Leonard其他文献

BAROLLI Leonard的其他文献

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{{ truncateString('BAROLLI Leonard', 18)}}的其他基金

Implementation and Evaluation of JXTA-Overlay P2P System inHeterogeneous Environments
异构环境下JXTA-Overlay P2P系统的实现与评估
  • 批准号:
    22500077
  • 财政年份:
    2010
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
A Simulation System for Sensor and Actor Networks
传感器和参与者网络的仿真系统
  • 批准号:
    19500071
  • 财政年份:
    2007
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
インターネット上でのマルチパス・マルチストリーム伝送および輻輳検出のための一般的枠組みに関する研究
互联网多路径/多流传输与拥塞检测通用框架研究
  • 批准号:
    04F04782
  • 财政年份:
    2004
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Application of Cooperative Agents for Routing in Large-scale High-speed Networks
协作代理路由在大规模高速网络中的应用
  • 批准号:
    14550345
  • 财政年份:
    2002
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)

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通过网络 QoS 提高事务处理性能
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  • 项目类别:
    University Undergraduate Student Research Awards
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