Varga Pal, Jászberényi Áron István, Pásztor Dániel, Nagy Balazs, Nasar Muhammad, Raisz David
Department of Telecommunications and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
Department of Automation and Applied Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
Sensors (Basel). 2025 Jul 6;25(13):4222. doi: 10.3390/s25134222.
The convergence of next-generation wireless communication technologies and modern energy infrastructure presents a promising path toward sustainable and intelligent systems. This survey explores how beyond-5G and 6G communication technologies can support the greening of Industrial Internet of Things (IIoT) systems and smart grids. It highlights the critical challenges in achieving energy efficiency, interoperability, and real-time responsiveness across different domains. The paper reviews key enablers such as LPWAN, wake-up radios, mobile edge computing, and energy harvesting techniques for green IoT, as well as optimization strategies for 5G/6G networks and data center operations. Furthermore, it examines the role of 5G in enabling reliable, ultra-low-latency data communication for advanced smart grid applications, such as distributed generation, precise load control, and intelligent feeder automation. Through a structured analysis of recent advances and open research problems, the paper aims to identify essential directions for future research and development in building energy-efficient, resilient, and scalable smart infrastructures powered by intelligent wireless networks.
下一代无线通信技术与现代能源基础设施的融合为实现可持续和智能系统提供了一条充满希望的道路。本综述探讨了5G以上及6G通信技术如何支持工业物联网(IIoT)系统和智能电网的绿色化。它突出了在不同领域实现能源效率、互操作性和实时响应性方面的关键挑战。本文回顾了低功耗广域网(LPWAN)、唤醒无线电、移动边缘计算和绿色物联网的能量收集技术等关键使能技术,以及5G/6G网络和数据中心运营的优化策略。此外,它还研究了5G在为先进智能电网应用(如分布式发电、精确负荷控制和智能馈线自动化)实现可靠、超低延迟数据通信方面的作用。通过对近期进展和开放研究问题的结构化分析,本文旨在确定未来在构建由智能无线网络驱动的节能、弹性和可扩展智能基础设施方面的关键研发方向。