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Effect of MAC type and speed on neighbor discovery in wireless train networks

机译:MAC类型和速度对无线火车网络中邻居发现的影响

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In this paper, a wireless neighbor discovery (ND) process in a linear topology of a high-speed train backbone network is studied. A key step that enables communication in such a network is that of topology discovery (TD), whereby nodes learn in a distributed fashion the physical topology of the backbone network. ND, where each individual node discovers their right and left one-hop neighbors is the first and key step in TD. While the current standard for train inauguration assumes wired links between adjacent backbone nodes, this paper investigates the more challenging scenario in which the nodes communicate in wireless-fashion based on IEEE 802.11 or slotted-ALOHA. A network simulation using NS-2 software is developed for the 802.11-based (and slotted-ALOHA based) wireless ND. The network simulation is applied to analyze performance metrics, such as ND time and ND success rate as a function of various parameters.
机译:本文研究了高速火车骨干网络线性拓扑中的无线邻居发现(ND)过程。在这样的网络中启用通信的关键步骤是拓扑发现(TD)的步骤,从而使节点以分布式方式学习骨干网络的物理拓扑。 ND是TD的第一步,也是每个关键节点发现右跳和左跳一跳的邻居。尽管当前的火车开通标准假设相邻骨干节点之间建立有线链接,但本文研究了更具挑战性的场景,其中节点以基于IEEE 802.11或sloted-ALOHA的无线方式进行通信。针对基于802.11(和基于时隙ALOHA)的无线ND开发了使用NS-2软件的网络仿真。网络仿真用于分析性能指标,例如ND时间和ND成功率作为各种参数的函数。

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