论文标题

飞行网络中的能量感接力定位

Energy-aware Relay Positioning in Flying Networks

论文作者

Rodrigues, Hugo, Coelho, André, Ricardo, Manuel, Campos, Rui

论文摘要

移动和悬停的能力使旋转翼无人驾驶汽车(UAV)合适的平台充当飞行通信接力(FCR),旨在在没有可用的网络基础架构或需要增强现有网络的能力时提供按需,临时的无线连接。但是,由于无人机依靠它们的车载电池,可以快速排出,因此他们通常需要经常着陆以充电或更换它们,从而限制了它们的耐力和飞行网络的可用性。当使用单个FCR无人机时,问题会加剧。 FCR无人机能量用于两个主要任务:通信和推进。从通信的角度来看,文献一直致力于优化飞行网络性能和能源效率,从而俯瞰无人机推进的能量。但是,与无人机推进的能量相比,用于通信的能量通常可以忽略不计。 在本文中,我们提出了能源感知接力定位(EREP),这是一种考虑到无人机推进的能量来定位FCR的算法。基于悬停是最节能的状态的结论,EREP定义了最小化FCR无人机在推进方面花费的能量的轨迹和速度,而不会在实践中损害飞行网络提供的服务质量。使用模拟评估EEREP算法。获得的结果表明,在FCR无人机耐力中获得了多达26%的收益,可忽略不计的吞吐量和延迟降解。

The ability to move and hover has made rotary-wing Unmanned Aerial Vehicles (UAVs) suitable platforms to act as Flying Communications Relays (FCR), aiming at providing on-demand, temporary wireless connectivity when there is no network infrastructure available or a need to reinforce the capacity of existing networks. However, since UAVs rely on their on-board batteries, which can be drained quickly, they typically need to land frequently for recharging or replacing them, limiting their endurance and the flying network availability. The problem is exacerbated when a single FCR UAV is used. The FCR UAV energy is used for two main tasks: communications and propulsion. The literature has been focused on optimizing both the flying network performance and energy-efficiency from the communications point of view, overlooking the energy spent for the UAV propulsion. Yet, the energy spent for communications is typically negligible when compared with the energy spent for the UAV propulsion. In this article we propose Energy-aware RElay Positioning (EREP), an algorithm for positioning the FCR taking into account the energy spent for the UAV propulsion. Building upon the conclusion that hovering is not the most energy-efficient state, EREP defines the trajectory and speed that minimize the energy spent by the FCR UAV on propulsion, without compromising in practice the Quality of Service offered by the flying network. The EREP algorithm is evaluated using simulations. The obtained results show gains up to 26% in the FCR UAV endurance for negligible throughput and delay degradation.

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