基于网络通信优化和节能轨迹的无人机能量感知

Georgios Fevgas, T. Lagkas, V. Argyriou, P. Sarigiannidis
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引用次数: 1

摘要

节能覆盖路径规划(CPP)方法的目的是利用覆盖区域的多架无人机(uav)最小化能源消耗。在多种无人机系统中,网络配置在网络的生存能力和任务执行中起着至关重要的作用。然而,网络的生存性和稳定性取决于网络资源的优化。本文综述了单个或多个无人机节能CPP方法。此外,我们还讨论了多无人机系统的网络配置。同样,我们的目标是为未来的研究提出网络能量优化的方法和方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV Energy Awareness based on Network Communication Optimization and Power Efficient Trajectories
The purpose of energy-efficient Coverage Path Planning (CPP) methods is to minimize energy consumption using multiple Unmanned Aerial Vehicles (UAVs) of the coverage area. In multiple UAVs systems, the network configuration plays a crucial role in the network’s survivability and mission execution. However, the network’s survivability and stability depend on the network’s resources optimization. This paper presents a review of single or multiple UAV energy-efficient CPP methods. Furthermore, we discuss the network configurations of multiple UAVs systems. Likewise, we aim to present networks’ energy optimization approaches and directions for future research.
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