EQARO-ECS:用于物联网通信的高效量子ARO-基于边缘计算和SDN路由协议,以避免荒漠化
Thair A Al-Janabi1, Hamed S Al-Raweshidy2, Muthana Zouri3
1College of Electrical and Electronic Technical Engineering, Middle Technical University, Baghdad 10047, Iraq.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究介绍了用于物联网 (IoT) 网络的高效量子人工子优化 (ARO) 路由协议,以打击荒漠化. EQARO-ECS方法减少了能源使用,并增强了数据分析,以更好地监测土地.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 由温度和湿度等因素驱动的荒漠化会降低肥沃的土地.
- 物联网 (IoT) 架构和人工智能驱动的路由对于荒漠化监测至关重要.
- 经典的人工智能算法面临着局部最佳和高能耗的挑战.
研究的目的:
- 为物联网网络提出一个改进的多目标路由协议,以监测和防止荒漠化.
- 提高物联网网络中的能源效率和数据分析速度,用于环境监测.
- 在荒漠化管理中解决传统AI算法的局限性.
主要方法:
- 开发了基于边缘计算 (EC) 和软件定义网络 (SDN) (EQARO-ECS) 的高效量子 (EQ) 人工子优化 (ARO).
- 集成云,SDN,EC和量子增强的ARO,用于优化物联网网络路由.
- 在ARO中使用代量子门,以更快地趋于全球最佳和考虑能源,通信成本和荒漠化参数的客观功能.
主要成果:
- 在物联网网络中,EQARO-ECS协议显著降低了能源消耗.
- 由于量子增强的ARO,数据分析速度明显提高.
- 与现有算法相比,该协议显示了更高的准确性和延长的网络寿命.
结论:
- 通过使用先进的物联网和人工智能,EQARO-ECS协议为监测和打击荒漠化提供了有效的解决方案.
- 这种方法提高了环境应用物联网网络的效率和寿命.
- 边缘计算,SDN和量子灵感优化的集成为可持续的土地管理提供了一个强大的框架.
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