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Multicast Routing Algorithm for Ad hoc Networks Based on Cognitive Radio

机译:基于认知无线电的特设网络网络组播路由算法

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Mobile Ad hoc networks (MANETs) have the characteristics of distribution, self-organization and mobility. PUMA, as a mesh-based multicast routing protocol for MANET, has been proved to perform better than other comparable multicast algorithms because of its effectiveness and robustness. Recently, cognitive radio technology has been applied to solve the scarcity problem of radio spectrum resources. In this paper, we combine PUMA with cognitive radio technology and propose a novel multicast routing algorithm, which is named as CR-PUMA for MANET. In CR-PUMA, node detects the available channels and selects a suitable one to send data packets to its next-hop neighbor. A cross-layer approach, which goes across the physical layer, link layer and network layer, is employed in our algorithm. Simulation experiments show that CR-PUMA attains a superior performance in terms of packet delivery ratio and throughput.
机译:移动临时网络(MANET)具有分布,自组织和移动性的特点。 PUMA作为MANET的基于网格的多播路由协议,已被证明由于其有效性和鲁棒性而比其他类似的多播算法更好。最近,已经应用了认知无线电技术来解决无线电频谱资源的稀缺问题。在本文中,我们将Puma与认知无线电技术结合起来,提出了一种新颖的多播路由算法,该算法被命名为MANET的Cr-Puma。在CR-PUMA中,节点检测可用通道,并选择合适的通道,将数据包发送到其下跳邻居。在我们的算法中采用跨越物理层,链路层和网络层的横向方法。仿真实验表明,Cr-Puma在分组输送比率和吞吐量方面达到了卓越的性能。

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