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Learning automata based multicast routing algorithm for wireless mobile ad-hoc networks

机译:无线自组织网络中基于学习自动机的组播路由算法

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A wireless mobile ad-hoc network is a set of wireless mobile nodes that forms a temporary network with the capability of reconfiguration. Nodes in these networks can move freely and without dependence on any fixed connecting infrastructure. Due to their independence from a fixed structure as well as their easy reconfiguration, these networks have various applications in everyday life. Multicasting plays an important role in many applications of mobile ad-hoc networks. It can significantly improve the performance of these networks. This paper offers a distributed algorithm based on learning automata using the definition of Steiner connected dominating set problem for multicast routing in wireless mobile ad-hoc networks. Proposed algorithm is compared with existing leading ones and simulation results indicate that the proposed multicast routing algorithm works better in terms of packet delivery ratio and end to end delay.
机译:无线移动自组织网络是一组无线移动节点,它们形成具有重新配置功能的临时网络。这些网络中的节点可以自由移动,而无需依赖任何固定的连接基础结构。由于它们独立于固定结构以及易于重新配置,因此这些网络在日常生活中具有多种应用。在移动自组织网络的许多应用中,多播扮演着重要角色。它可以显着提高这些网络的性能。本文为无线移动自组网中的组播路由提供了一种基于学习自动机的分布式算法,该算法使用Steiner连接的控制集问题的定义。将所提出的算法与现有的算法进行比较,仿真结果表明,所提出的组播路由算法在分组的传输率和端到端时延方面表现更好。

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