摘 要
随着全球通信网络规模的持续扩张，能耗问题已成为制约其可持续发展的重要因素。本研究旨在探索通信网络中的能耗优化策略，以降低能源消耗并提升系统效率。通过分析现有网络架构及能耗分布特征，本文提出了一种基于动态资源分配与智能调度的综合优化方法。该方法结合机器学习算法和网络流量预测模型，实现了对网络负载的精准调控，并在保证服务质量的前提下最大限度地减少能量消耗。实验结果表明，所提出的优化策略能够有效降低约25%的网络总能耗，同时显著改善了网络资源利用率。此外，本文还引入了绿色能源集成方案，进一步提升了系统的环境友好性。
关键词：通信网络能耗 动态资源分配 智能调度
Abstract
With the continuous expansion of the global communication network scale, the energy consumption problem has become an important factor restricting its sustainable development. This study aims to explore energy consumption optimization strategies in communication networks to reduce energy consumption and improve system efficiency. By analyzing the existing network architecture and energy consumption distribution characteristics, this paper proposes a comprehensive optimization method based on dynamic resource allocation and intelligent scheduling. This method combines the machine learning algorithm and the network traffic prediction model to realize the precise regulation of the network load, and minimize the energy consumption under the premise of ensuring the service quality. The experimental results show that the proposed optimization strategy can effectively reduce the total network energy consumption by about 25%, while significantly improving the network resource utilization. In addition, this paper also introduces a green energy integration scheme, which further improves the environmental friendliness of the system.
Keyword:Communication Network Energy Consumption Dynamic Resource Allocation Intelligent Scheduling
目 录
1绪论 1
1.1通信网络能耗优化的研究背景 1
1.2能耗优化策略的意义与价值 1
1.3国内外研究现状分析 1
1.4本文研究方法与技术路线 2
2能耗优化的关键技术分析 2
2.1通信网络能耗的主要来源 2
2.2动态功率调整技术研究 2
2.3绿色路由算法的设计与应用 3
2.4边缘计算对能耗的影响 3
2.5关键技术的综合评价 4
3能耗优化模型的构建与验证 4
3.1能耗优化模型的基本框架 4
3.2基于机器学习的能耗预测模型 5
3.3多目标优化模型的设计 5
3.4模型验证与性能评估 6
3.5模型改进方向探讨 6
4实际场景中的能耗优化策略应用 6
4.2数据中心能耗管理方案 6
4.3物联网环境下的能耗控制策略 7
4.4用户行为对能耗的影响分析 7
4.5实践案例总结与展望 8
结论 8
参考文献 10
致谢 11
随着全球通信网络规模的持续扩张，能耗问题已成为制约其可持续发展的重要因素。本研究旨在探索通信网络中的能耗优化策略，以降低能源消耗并提升系统效率。通过分析现有网络架构及能耗分布特征，本文提出了一种基于动态资源分配与智能调度的综合优化方法。该方法结合机器学习算法和网络流量预测模型，实现了对网络负载的精准调控，并在保证服务质量的前提下最大限度地减少能量消耗。实验结果表明，所提出的优化策略能够有效降低约25%的网络总能耗，同时显著改善了网络资源利用率。此外，本文还引入了绿色能源集成方案，进一步提升了系统的环境友好性。
关键词：通信网络能耗 动态资源分配 智能调度
Abstract
With the continuous expansion of the global communication network scale, the energy consumption problem has become an important factor restricting its sustainable development. This study aims to explore energy consumption optimization strategies in communication networks to reduce energy consumption and improve system efficiency. By analyzing the existing network architecture and energy consumption distribution characteristics, this paper proposes a comprehensive optimization method based on dynamic resource allocation and intelligent scheduling. This method combines the machine learning algorithm and the network traffic prediction model to realize the precise regulation of the network load, and minimize the energy consumption under the premise of ensuring the service quality. The experimental results show that the proposed optimization strategy can effectively reduce the total network energy consumption by about 25%, while significantly improving the network resource utilization. In addition, this paper also introduces a green energy integration scheme, which further improves the environmental friendliness of the system.
Keyword:Communication Network Energy Consumption Dynamic Resource Allocation Intelligent Scheduling
目 录
1绪论 1
1.1通信网络能耗优化的研究背景 1
1.2能耗优化策略的意义与价值 1
1.3国内外研究现状分析 1
1.4本文研究方法与技术路线 2
2能耗优化的关键技术分析 2
2.1通信网络能耗的主要来源 2
2.2动态功率调整技术研究 2
2.3绿色路由算法的设计与应用 3
2.4边缘计算对能耗的影响 3
2.5关键技术的综合评价 4
3能耗优化模型的构建与验证 4
3.1能耗优化模型的基本框架 4
3.2基于机器学习的能耗预测模型 5
3.3多目标优化模型的设计 5
3.4模型验证与性能评估 6
3.5模型改进方向探讨 6
4实际场景中的能耗优化策略应用 6
4.2数据中心能耗管理方案 6
4.3物联网环境下的能耗控制策略 7
4.4用户行为对能耗的影响分析 7
4.5实践案例总结与展望 8
结论 8
参考文献 10
致谢 11
