在与中央站连接的自主飞行特设网络中解决回访挑战
Ercan Erkalkan1, Vedat Topuz1, Ali Buldu2
1Department of Computer Technologies, Vocational School of Technical Sciences, Marmara University, 34865 Kartal, İstanbul, Turkey.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
本研究介绍了多个无人机 (UAV) 的新启发式路由算法,以优化任务分配并保持飞行特设网络 (FANET) 的网络连接. 该算法有效地管理无人机路线,最大限度地减少重新访问时间并提高动态网络性能.
科学领域:
- 机器人和自动化 机器人和自动化
- 网络工程 网络工程
- 运营研究 运营研究
背景情况:
- 多无人机系统提供了先进的功能,但面临协调挑战,特别是在网络连接和路由方面.
- 现有的路由算法对于连接到中央站的多个无人机缺乏效率,特别是在不断连接和最大限度地减少重新访问时间方面.
研究的目的:
- 为多个无人机系统提出一个启发式路由算法,以应对飞行特设网络 (FANET) 中的回访挑战.
- 为了优化任务分配,并保持连接到中央站的无人机的网络连接.
主要方法:
- 开发一个复合估值函数用于目标优先级.
- 实现一个数学模型用于任务分配与继电器分配.
- 独家使用模拟环境来评估通信范围,连接性和路由性能.
主要成果:
- 拟议的路由算法尽管频繁发生网络拓变化,但仍显示出效率.
- 该算法在动态环境中显示出强度,与现有方法相比,性能优越.
- 模拟证实了算法在维护网络连接和优化路由方面的有效性.
结论:
- 启发式算法可以显著提高UAV任务分配的理解和改进当前方法.
- 开发的算法为多个无人机系统中的路由挑战提供了有效的解决方案.
- 该方法有效地平衡了目标优先级,任务分配和网络连接维护.
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