能源效率高的交通数据聚合和对大都市光接入网络的路由.
T Senthil Kumar1, Mohan V2, S Senthilkumar3
1Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamilnadu, 639113, India. tskumar5585@gmail.com.
Scientific reports
|October 1, 2025
概括
本研究介绍了一种节能的大都市光接入网络 (MOAN),使用自适应主组件分析 (APCA) 来处理流量,并使用自适应金枪鱼群优化 (ATSSO) 进行路由. 这种方法显著降低了能源消耗,并提高了网络性能.
科学领域:
- 光学网络的光学网络.
- 电信中的能源效率.
- 大都会地区网络.
背景情况:
- 大都市地区对高速数据传输的需求日益增加,需要节能解决方案.
- 现有的光网络在优化能源消耗和网络寿命方面面临着挑战.
- 大都会光学接入网络 (MOAN) 需要高效的资源利用和电力管理的先进策略.
研究的目的:
- 开发和评估大都会光学接入网络 (MOAN) 的节能交通数据聚合和路由战略.
- 通过智能数据理和路径选择,增强网络寿命并优化资源利用.
- 为了降低能源消耗,同时保持高数据吞吐量和低数据包延迟.
主要方法:
- 基于波长实用性的动态波长分配 (WU-DWA),以实现高效的资源利用.
- 适应性主要组件分析 (APCA) 用于交通调整和数据聚合.
- 节能适应性金枪鱼群优化 (ATSSO) 战略,以实现能源意识的路由.
主要成果:
- 实现了88个单位的能源消耗.
- 获得了131.63个单位的吞吐量.
- 将平均数据包延迟降低到3.551个单位.
- 报告的节能率为29.99%.
结论:
- 提议的节能方法在大都市光学接入网络 (MOAN) 中显著优于传统方法.
- 集成APCA用于流量培养和ATSSO用于路由,提高了网络寿命和效率.
- 该研究表明,在大都市环境中,高速,节能数据传输是一个可行的解决方案.
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