Energy-Efficient Networking in the Era of 5G and IoT: A Scientometric Analysis of Green Communication, SDN Optimization, and Edge Computing Strategies
摘要
The digital age is converging 5G technology, IoT, and Edge computing to revolutionize communication with ultra-reliable low-latency service, connection of masses of devices and real-time analytics. But the growing technological advancement has also raised the energy consumption and there is a strong focus on energy-saving networking solutions. The paper reviews the scientific works of green communication protocols, Software-Defined Networking, and sustainable infrastructures in 5G-IoT settings. Its findings comprise 835 documents and 480 sources with a cumulative growth per year of −3.26 which indicates the decrease in quantity but increase in quality-related research impact. China (31%) and India (22%) were the best contributors, and Beijing University of Posts and Telecommunications was the leading institutional contributor (31 papers). The average rate of citation was 20.95 per paper with the percentage of international collaboration being 33.53 which shows the involvement of global research. The co-occurrence of the keywords shows that the four themes include: IoT, 5G and Edge Computing, AI-driven optimization, energy-restricted routing, and smart city applications as the tendencies. In citation bursts, classic works are highlighted whereas in collaboration patterns; cross national research associations are exhibited. The report suggests that the energy-efficient and environmentally friendly 5G-IoT ecosystems require AI-complemented routing, infrastructures based on renewable sources, and life-cycle testing.