基于运营风险和QoS保证的电力通信网络服务安排的智能调整方法
Yang Yu1, YueLin Jiang2, Zeng Dou1
1The State Grid Jilin Province Electric Power Company Limited Information Communication Company, Jilin, China.
PloS one
|February 24, 2025
概括
本研究介绍了电力通信网络的智能方法,以优化服务调度和增强风险预防. 增强的路由算法将路径满意度提高7.4%,确保可靠的网络运行.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 网络工程 网络工程
背景情况:
- 电力通信网络的运营规划需要强大的服务安排,以预防风险.
- 路由策略对于数据传输路径至关重要,影响网络性能和降低风险.
- 现有的方法可能无法充分解决降低运营风险和保证服务质量 (QoS) 的双重目标.
研究的目的:
- 在电力通信网络中引入用于服务调度的智能调节方法.
- 通过优化路由来加强风险预防和保证服务质量 (QoS).
- 开发一个路由算法,尽量减少风险成本,并最大限度地提高路径满意度.
主要方法:
- 开发了一种基于服务传输可靠性和时间成本的路线满意度评估功能模型.
- 提出了一个增强的风险时间群优化 (RT-ACO) 路由算法,改进了传统的群算法在启发式信息,参数权重,状态选择和费罗蒙更新方面.
- 引入了基于功率光通信网络的基于服务优先级的重新配置算法,以提供主要和替代路由路径.
主要成果:
- 改进的RT-ACO算法在模拟中成功识别了具有最低风险成本的初级和替代路由路径.
- 与传统的群算法相比,拟议算法的路径满意度显示了7.4%的改善.
- 该算法确保高优先级的服务提供,即使在具有挑战性的网络条件下.
结论:
- 拟议的智能调整方法和RT-ACO算法对于优化电力通信网络服务调度具有准确性和优越性.
- 该方法有效地平衡了运营风险和服务质量 (QoS) 要求.
- 这项工作为提高功率光纤通信网络系统的可靠性提供了宝贵的参考.
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