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A New Cross-Layer Framework for QoS Multicast Applications in Mobile Ad hoc Networks

机译:移动Ad hoc网络中QoS组播应用的新跨层框架

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The need to support real-time and multimedia applications in mobile ad hoc networks (MANETs) has increased dramatically over the last few years. There are many challenges in supporting QoS for MANETs. The contribution of this paper is a new framework based on the cross-layer design and integration between a new routing protocol and other components that deal with different types of traffic. We propose a Framework for QoS Multicast (FQM) to support QoS multicast applications for MANETs that is able to support QoS enabled applications. The first component of the framework is a new and efficient routing protocol for finding multiple paths meeting the QoS requirements and for maintaining these paths. Second, cross-layer bandwidth estimation is used to estimate the available bandwidth and support it for other schemes. Third, classifier, shaper, dynamic rate control and priority queue work together to support high priority real-time traffic. We implemented a hybrid scheme that uses unipaths and redundant paths to share the available bandwidth for forwarding data packets. The performance of FQM was studied using the GLOMOSIM simulation environment. Analysis of the simulation results showed the ability of FQM to exploit the available bandwidth efficiently and provide a balance between performance gains and protocol complexity. The results indicated a high packet delivery ratio associated with low control overhead, low average latency and low jitter compared with QAMNet [1]. The FQM framework out-performed QAMNet in most experiments.
机译:在过去的几年中,在移动自组织网络(MANET)中支持实时和多媒体应用程序的需求已大大增加。在支持MANET的QoS方面存在许多挑战。本文的贡献是基于跨层设计的新框架,以及新路由协议和处理不同类型流量的其他组件之间的集成。我们提出了QoS组播(FQM)框架,以支持能够支持QoS的应用程序的MANET的QoS组播应用程序。该框架的第一个组件是一种新的高效路由协议,用于查找满足QoS要求的多个路径并维护这些路径。其次,跨层带宽估计用于估计可用带宽并为其他方案提供支持。第三,分类器,整形器,动态速率控制和优先级队列协同工作以支持高优先级实时流量。我们实现了一种混合方案,该方案使用单路径和冗余路径来共享用于转发数据包的可用带宽。使用GLOMOSIM仿真环境研究了FQM的性能。对仿真结果的分析表明,FQM能够有效利用可用带宽,并在性能增益和协议复杂性之间取得平衡。结果表明,与QAMNet [1]相比,具有较高的数据包传递率,较低的控制开销,较低的平均延迟和较低的抖动。在大多数实验中,FQM框架的性能均优于QAMNet。

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