对于多个无人机数据收集系统的联合轨迹,传输时间和功率优化.
Qing Cai1, Zheng Tang2, Chuan Liu1
1Yunnan Zhongheng Construction Co., Ltd, 15 Building of Jin Shangjun Garden, Panlong District, Kunming, Yunnan, 650224, China.
Heliyon
|March 8, 2024
概括
本研究介绍了一种高效的多无人飞行器 (UAV) 系统,用于数据收集,优化能源使用并最大限度地实现通信限制下的数据传输.
科学领域:
- 无线通信网络是无线通信网络.
- 机器人和控制系统的机器人和控制系统.
- 优化理论 优化理论
背景情况:
- 无人机提供灵活的移动通信平台.
- 无人机可以通过充当移动基站来提高通信性能.
- 数据收集系统面临能源限制和通道干扰的挑战.
研究的目的:
- 开发一个多无人机辅助数据收集系统.
- 为解决无人机和地面节点的能源消耗限制.
- 为了最大限度地从地面节点收集的最小数据,考虑到通道干扰.
主要方法:
- 制定了一个非凸的优化问题,以最大限度地收集最小的数据.
- 把这个问题分解成四个子问题.
- 采用了连续凸近似和块坐标下降方法.
主要成果:
- 开发了一种代算法,用于联合优化数据传输,功率,无人机轨迹和任务时间.
- 拟议的算法在数据传输方面明显优于基线方法.
- 在能源限制下实现了数据收集效率的提高.
结论:
- 提出的代算法有效地优化了多无人机辅助数据收集.
- 该系统在现实约束下最大限度地收集数据方面表现出卓越的性能.
- 这项研究有助于高效的无人机通信系统.
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