Obscuration minimization in dynamic free space optical networks through topology control
Obscuration minimization in dynamic free space optical networks through topology control
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DOI：
10.1109/milcom.2004.1495122
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发表时间：
2004-10
期刊：
影响因子：
--
通讯作者：
Jaime Llorca;A. Desai;S. Milner
中科院分区：
文献类型：
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作者：
Jaime Llorca;A. Desai;S. Milner
自由空间光（FSO）网络正在成为一种可行的，具有成本效益的快速部署宽带通信基础设施的技术。这种类型的网络的主要缺点是它们的动态性能，特别是在恶劣的天气条件和高节点移动性。拓扑控制是实现光无线网络在恶劣环境下抗毁性的手段，基于动态和自主的拓扑重构。拓扑控制过程包括节点的跟踪和获取、链路状态信息的评估、拓扑数据的收集和分发以及最优拓扑的算法求解。设计、分析和比较了在动态环境中配置优化拓扑的算法和策略。启发式被开发用于环形网络（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）。本文主要研究设计高效、可扩展的物理层拓扑优化算法。也就是说，算法来选择优化给定物理层目标的拓扑配置。性能和可扩展性结果显示了在不同场景和不同网络规模下使用的各种方法。
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.