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Topology Optimizing in FSO-based UAVs Relay Networks for Resilience Enhancement

机译:基于FSO的无人机中继网络中的拓扑优化,以增强弹性

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Applying free space optical (FSO) in unmanned aerial vehicles (UAVs) relay networks has emerged as a promising technology due to high throughput, long transmission range, and the negligible interference incurred by FSO communications. However, FSO links are vulnerable in free space because of atmospheric turbulence, thus significantly reducing the reliability of the network. Thus, how to construct the FSO-based UAVs relay network topology to achieve a high network reliability is critical. This paper studies the network topology formation problem by considering the network resilience, where the resilience is referred to the ability of a network topology to defend against link failures. The network topology formation problem is formulated as a mixed integer nonlinear programming problem with the objective of maximizing network resilience. To solve this problem, two network resilience aware topology formation (NRATF) methods, i.e., centralized-NRATF and distributed-NRATF, are investigated to solve the topology designing problem efficiently. The performance of the proposed algorithms are evaluated via extensive simulations.
机译:由于高吞吐量,长传输范围以及FSO通信所产生的可忽略的干扰,在无人飞行器(UAV)中继网络中应用自由空间光学(FSO)已经成为一种有前途的技术。但是,由于大气湍流,FSO链路在自由空间中容易受到攻击,从而大大降低了网络的可靠性。因此,如何构建基于FSO的无人机中继网络拓扑结构以实现较高的网络可靠性至关重要。本文通过考虑网络弹性来研究网络拓扑形成问题,其中弹性是指网络拓扑防御链路故障的能力。网络拓扑形成问题被公式化为混合整数非线性规划问题,目的是最大化网络弹性。为了解决该问题,研究了两种网络弹性感知拓扑形成(NRATF)方法,即集中式NRATF和分布式NRATF,以有效地解决拓扑设计问题。通过广泛的仿真评估了所提出算法的性能。

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