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Topology Control Schema for Better QoS in Hybrid RF/FSO Mesh Networks

机译:混合RF / FsO网状网络中提高Qos的拓扑控制方案

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摘要

The practical limitations and challenges of radio frequency (RF) basedcommunication networks have become increasingly apparent over the past decade,leading researchers to seek new hybrid communication approaches. One promisingstrategy that has been the subject of considerable interest is the augmentationof RF technology by Free Space Optics (FSO), using the strength of eachcommunication technology to overcome the limitations of the other. In thisarticle, we introduce a new scheme for controlling the topology in hybridRadio-Frequency/Free Space Optics (RF/FSO) wireless mesh networks. Our schemeis based on adaptive adjustments to both transmission power (of RF and FSOtransmitters) and the optical beam-width (of FSO transmitters) at individualnodes, with the objective of meeting specified Quality of Service (QoS)requirements, specifically end-to-end delay and throughput. We show how one caneffectively encode the instantaneous objectives and constraints of the systemas an instance of Integer Linear Programming (ILP). We demonstrate that thetechnique of Lagrangian Relaxation (LR), augmented with iterative repairheuristics, can be used to determine good (albeit sub-optimal) solutions forthe ILP problem, making the approach feasible for mid-sized networks. We makethe proposed scheme viable for large-scale networks in terms of number ofnodes, number of transceivers, and number of source-destination pairs bysolving the ILP problem using a Particle Swarm Optimization (PSO)implementation.
机译:在过去的十年中,基于射频(RF)的通信网络的实际局限性和挑战日益明显,导致研究人员寻求新的混合通信方法。引起人们广泛关注的一种有前途的战略是通过自由空间光学(FSO)增强RF技术,利用每种通信技术的优势来克服另一种通信技术的局限性。在本文中,我们介绍了一种用于控制混合射频/自由空间光学(RF / FSO)无线网状网络中的拓扑的新方案。我们的方案基于对各个节点的(RF和FSO发射机的)发射功率和(FSO发射机的)光束宽度的自适应调整,目的是满足特定的服务质量(QoS)要求,特别是端到端延迟和吞吐量。我们展示了如何作为整数线性规划(ILP)的实例有效编码系统的瞬时目标和约束。我们证明,拉格朗日松弛(LR)技术加上迭代修复启发式算法可用于确定ILP问题的良好(尽管不是最优)解决方案,从而使该方法对于中型网络可行。通过使用粒子群优化(PSO)实现解决ILP问题,我们使所提出的方案在节点数,收发器数和源-目的对数方面对大型网络可行。

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