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Obscuration minimization in dynamic free space optical networks through topology control

机译:通过拓扑控制将动态自由空间光网络中的遮挡最小化

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Free space optical (FSO) networks are emerging as a viable, cost effective technology for rapidly deployable broadband communication infrastructure. The main drawback of this type of networks is their dynamic performance, especially under adverse weather conditions and high nodes mobility. Topology control is used as the means to achieve survivable optical wireless networking under hostile conditions, based on dynamic and autonomous topology reconfiguration. The topology control process involves tracking and acquisition of nodes, assessment of link-state information, collection and distribution of topology data, and the algorithmic solution of an optimal topology. Design, analysis and comparison of algorithms and heuristics for configuring optimized topologies in dynamic environments are presented. Heuristics were developed for ring networks (2 optical transceivers per node) as well as for 3-degree networks (3 optical transceivers per node). This paper focuses on the design of efficient and scalable algorithms for physical layer topology optimization. That is, algorithms to select the topology configuration which optimizes a given physical layer objective. Performance and scalability results are shown for the various heuristics used, in different scenarios and for different network sizes.
机译:自由空间光(FSO)网络正在成为一种可行的,具有成本效益的技术,用于可快速部署的宽带通信基础设施。这种类型的网络的主要缺点是其动态性能,尤其是在不利的天气条件和高节点移动性的情况下。基于动态和自主拓扑重新配置,拓扑控制被用作在敌对条件下实现可生存的光学无线网络的手段。拓扑控制过程包括跟踪和获取节点,评估链接状态信息,收集和分发拓扑数据以及最佳拓扑的算法解决方案。介绍了在动态环境中配置优化拓扑的算法和启发式算法的设计,分析和比较。已为环形网络(每个节点2个光收发器)以及3度网络(每个节点3个光收发器)开发了启发式技术。本文重点介绍用于物理层拓扑优化的高效且可扩展算法的设计。也就是说,选择用于优化给定物理层目标的拓扑配置的算法。针对在不同场景和不同网络规模中使用的各种启发式方法,显示了性能和可伸缩性结果。

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