基于平均共识的多个无人机网络的通道约会算法
Yunlu Wang1, Bo Zhang1, Shan Qin1
1National Defense Innovation Institute, Fengtai District, No. 53 East Street Courtyard, Beijing 100071, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
本研究引入了多无人机网络的新算法,以解决通道干扰问题. 基于内存的平均一致性 (MAC) 和多无线电平均共识 (MRAC) 算法使无人机能够有效地同步通信通道.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 多个无人机 (UAV) 网络在分布式自适应网络建设中面临挑战,原因是控制道不可靠,在拥挤的电磁环境中传感范围有限.
- 维护通信链路对于多无人机网络的功能至关重要,但干扰往往会破坏这些连接.
研究的目的:
- 开发和评估新的算法,使多无人机网络能够实现通道聚会,确保可靠的通信.
- 通过提出解决方案来解决现有方法的局限性,这些解决方案可以在有或没有对网络拓学的先验知识的情况下工作.
主要方法:
- 提出了基于内存的平均一致性 (MAC) 算法,该算法使用网络邻矩阵作为通道同步的先前信息.
- 引入了多无线电平均共识 (MRAC) 算法,用于未知邻近矩阵的场景,平衡性能和硬件成本.
- 利用模拟结果和软件定义的无线电平台进行硬件模拟,以验证算法的有效性.
主要成果:
- 该MAC和MRAC算法展示了优越的网络收时间和可扩展性跨不同密度的网络.
- 模拟结果证实了拟议的算法在实现多无人机网络高效通道聚会方面的有效性.
- 在硬件模拟平台上的实验验证证明了MAC算法在现实环境中的实际应用.
结论:
- 开发的MAC和MRAC算法有效地解决了多无人机网络中的道交会挑战.
- 这些算法在融合速度和可扩展性方面提供了更好的性能,使它们适合各种网络密度.
- 成功的硬件模拟验证了MAC算法的实际实施和有效性在现实世界多无人机通信场景.
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