在认知无人机网络中使用强大的路由协议
Anatte Rozario1, Ehasan Ahmed1, Nafees Mansoor1
1Department of Computer Science and Engineering, University of Liberal Arts Bangladesh (ULAB), Dhaka 1207, Bangladesh.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
本研究引入了在飞行特设网络 (FANET) 中用于认知无人机 (CR-UAV) 的新路由协议. 该协议提高了网络性能和安全性,在无人机通信的模拟中显示出卓越的结果.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 无人驾驶飞行器 (UAV) 需要可靠的通信网络,用于国防和民用应用.
- 飞行特设网络 (FANETs) 由于高流动性和动态网络拓,存在独特的路由挑战.
- 现有的路由协议通常在复杂的FANET环境中难以实现效率,安全性和适应性.
研究的目的:
- 在FANET中开发和评估用于认知无人机 (CR-UAV) 的新型路由协议.
- 通过整合关键性能指标和一种新的决策因素来优化路线选择.
- 提高无人机通信网络的稳定性,安全性和效率.
主要方法:
- 提出了一个新的CR-UAV在FANET中的路由协议,通过距离,速度,链接质量和能源消耗来优化路线选择.
- 引入了中央节点分辨率因子 (CNRF) 以改善路由决策,并补充了接收信号强度指标 (RSSI) 用于距离估计.
- 预测算法,用于恶意节点识别的安全措施,以及高效的路线维护策略是集成的,包括集群管理.
主要成果:
- 与现有方法相比,该协议表现出优越的性能,特别是在吞吐量和减少数据包传输延迟方面.
- 模拟评估了端到端延迟,吞吐量,数据包交付比率和在不同的数据包大小下规范化路由负载.
- 该协议有效地处理动态网络变化,包括节点连接/离开和链路故障,同时保持高效的路由.
结论:
- 拟议的CR-UAV路由协议为FANETs提供了显著的网络性能和可靠性的改进.
- 它能够优化路由,增强安全性和管理动态网络条件的能力使其适用于国防和民用无人机应用.
- 该协议在模拟中的有效性突显了其在先进无人机通信系统中广泛采用的潜力.
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