基于WOA的强大的拥堵控制方案,具有两种传播延迟和软件定义无线网络中的外部干扰
Xi Hu1,2,3, Zhiwei Shen4, Xin Xiong1,2,3
1State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China.
Biomimetics (Basel, Switzerland)
|June 27, 2023
概括
本研究介绍了软件定义无线网络 (SDWNs) 的强有力的控制方案,使用鱼优化算法 (WOA) 来改善网络吞吐量和稳定性,尽管存在延迟和干扰. 这种新的方法优化了发送速率,以提高网络性能.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 控制系统 控制系统
背景情况:
- 软件定义无线网络 (SDWNs) 面临着传播延迟和外部干扰影响吞吐量和稳定性的挑战.
- 现有的拥堵控制机制可能无法充分解决SDWNs中双传播延迟的复杂性.
- 转发设备之间的道竞争进一步复杂化了网络性能优化.
研究的目的:
- 为SDWNs提出一种基于鱼优化算法 (WOA) 的新强有力的控制方案.
- 为了最大限度地提高整体网络吞吐量,并提高全球网络的稳定性.
- 为应对两种传播延迟和外部干扰所带来的挑战.
主要方法:
- 开发一种附加增倍减小 (AIMD) 调整模型,具有设备对设备路径延迟.
- 引入一个闭环拥堵控制模型,结合设备-控制器对延迟.
- 建立一个强大的拥堵控制模型,考虑双延迟和外部干扰.
- 基于WOA的调度策略的介绍,以实现最佳的源发送速率分配.
- 使用Lyapunov-Krasovskii函数和线性矩阵不等式 (LMIs) 导出足够的稳定性条件.
主要成果:
- 提出的基于WOA的调度策略有效地最大限度地提高了全球网络吞吐量.
- 强大的控制方案在不同的延迟和干扰条件下提高了SDWNs的稳定性.
- 数字模拟验证了开发的控制方案的有效性.
结论:
- 基于WOA的新型强有力的控制方案为SDWNs的性能提供了显著的改善.
- 集成AIMD和闭环模型有效地管理双传播延迟.
- 该研究为SDWNs中强大的拥堵控制提供了一个数学上健全的框架.
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