边缘计算在智慧校园物联网中的能效优化策略研究

Research on Energy Efficiency Optimization Strategies of Edge Computing in Smart Campus Internet of Things

围绕边缘计算在智慧校园物联网中的能效优化策略展开研究,分析边缘计算在能效优化中的作用机制,探讨基于边缘计算的智慧校园物联网能效优化策略,并结合实践案例进行深入分析。研究发现,边缘计算通过数据近端化处理、灵活资源分配和实时响应能力等机制,为智慧校园物联网的能效优化提供了重要支持和保障。基于边缘计算的智慧校园物联网能效优化策略主要包括数据分析与处理优化、资源动态调度与管理、能源管理与节能策略、数据隐私保护与安全机制等方面。

This paper focuses on the research of energy efficiency optimization strategies of edge computing in smart campus internet of things,analyzes the role mechanism of edge computing in energy efficiency optimization,and discusses the energy efficiency optimization strategies of smart campus internet of things based on edge computing.In-depth analysis is conducted in combination with practical cases.The study found that edge computing provides important support and guarantee for the energy efficiency optimization of smart campus internet of things through mechanisms such as data proximal processing,flexible resource allocation,and real-time response capabilities.The energy efficiency optimization strategies of smart campus internet of things based on edge computing mainly include optimization of data analysis and processing,dynamic resource scheduling and management,energy management and energy-saving strategies,data privacy protection,and security mechanisms.