A QoS-aware multicast overlay spanning tree protocol for multimedia applications in MANETs

H. Badis
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引用次数: 3

Abstract

Many real-time applications, such as video conferencing, require the transmission of flows from a sender to multiple receivers subject to Quality of Service (QoS) delivery constraints (e.g. bounded delay). Traditional multicast routing algorithms used for solving the Sterner tree problem cannot be used in this scenario, because QoS constraints on links are not considered. Moreover, with QoS metrics consideration, the problem of computing optimal constrained multicast tree is known as NP-complete. In this paper, we propose a new QoS-aware Multicast Overlay Spanning Tree (QMOST) protocol to support multiple-metric routing criteria in mobile ad hoc networks. It computes low cost trees with multiple-metric bounded paths in polynomial time using an efficient source- based optimization heuristic. Unlike common multicast protocols where data packets are transmitted in a broadcast mode, in QMOST data packets are encapsulated in unicast packets before being forwarded to the overlay tunnels. Multicasting is achieved when each node forwards multicast packets to its successors in the overlay tree. QMOST must be used in conjunction with a unicast QoS link state protocol (QOLSR) and can be integrated in a QoS model. This later offers the needed service guarantee using distributed admission control to check if the multicast QoS flows are admissible, resource reservation mechanism and congestion control. Simulation results show that our QMOST protocol achieves better performance than the QOLSR protocol.
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面向manet多媒体应用的qos感知多播覆盖生成树协议
许多实时应用程序,如视频会议,需要在服务质量(QoS)交付约束(例如有界延迟)的约束下,将流从发送方传输到多个接收方。用于解决Sterner树问题的传统组播路由算法不能在这种情况下使用,因为没有考虑链路上的QoS约束。此外,考虑到QoS指标,计算最优约束组播树的问题被称为np完全问题。在本文中,我们提出了一种新的qos感知组播覆盖生成树(QMOST)协议来支持移动自组织网络中的多度量路由标准。它使用一种有效的基于源的启发式优化算法,在多项式时间内计算出具有多度量有界路径的低成本树。与以广播方式传输数据包的普通组播协议不同,QMOST中的数据包在转发到覆盖隧道之前被封装在单播数据包中。当每个节点将多播数据包转发给覆盖树中的后续节点时,就实现了多播。QMOST必须与单播QoS链路状态协议(QOLSR)结合使用,并且可以集成到QoS模型中。然后利用分布式准入控制来检查组播QoS流是否可接受、资源预留机制和拥塞控制来提供所需的服务保障。仿真结果表明,我们的QMOST协议比QOLSR协议具有更好的性能。
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