论文标题
在存在干扰的情况下，无人机辅助数据收集网络的终生最大化
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming
论文作者
论文摘要
由于各种实用用例，例如监视，数据收集和商品交付，无人驾驶飞机（UAV）的部署最近引起了人们的关注。由于无人机由电池提供动力，因此节能通信至关重要。在本文中，我们研究了在有多个干扰源的情况下，将无人机的寿命最大化的问题最大化，在这种干扰源的情况下，将无人机从一组无线传感器中收集数据。我们证明，无人机的放置在延长网络的寿命方面起着关键作用，因为无人机的所需传输能力与它们在太空中的位置密切相关。在拟议的情况下，无人机将收集的数据传输到称为\ textit {Leader}的主要无人机，该数据可以通过Backhaul UAV网络将数据转发到基站（BS）。我们从光谱图理论中部署工具，以解决该问题，因为其非凸度高。仿真结果表明，我们提出的方法可以显着改善无人机网络的寿命。
Deployment of unmanned aerial vehicles (UAVs) is recently getting significant attention due to a variety of practical use cases, such as surveillance, data gathering, and commodity delivery. Since UAVs are powered by batteries, energy efficient communication is of paramount importance. In this paper, we investigate the problem of lifetime maximization of a UAV-assisted network in the presence of multiple sources of interference, where the UAVs are deployed to collect data from a set of wireless sensors. We demonstrate that the placement of the UAVs play a key role in prolonging the lifetime of the network since the required transmission powers of the UAVs are closely related to their locations in space. In the proposed scenario, the UAVs transmit the gathered data to a primary UAV called \textit{leader}, which is in charge of forwarding the data to the base station (BS) via a backhaul UAV network. We deploy tools from spectral graph theory to tackle the problem due to its high non-convexity. Simulation results demonstrate that our proposed method can significantly improve the lifetime of the UAV network.
