# Energy-Efficient Industrial Internet of Things in Green 6G Networks
## 8 Discussion
High-quality energy-efficient services require manufacturing equipment remote control, integrated network and computer infrastructure management, and 6G higher-capacity data transmission. End-to-end optimized network infrastructure power consumption can be attained by centralized end-to-end monitoring and IT system and network resource integrated management in 6G communications and wireless access systems. To build energy-efficient networks, Fujitsu advances network topologies by mobile base station and mesh network sharing technologies. Dynamically coordinated 6G network topology and disaggregated computing technologies can be leveraged in cloud computer-based mass data storage and processing, network traffic load cloud-based-software-controlled base station and mobile terminal flexible coordination, and radio access network-greening-based energy and ICT-related power consumption reduction. Machine-learning-based photonics network monitoring technology reduces power consumption by network configuration optimization. Sixth-generation virtualized radio access network and end-to-end network operation technologies cut down CO2 emissions and network operations costs, ensure low-latency connectivity and computing resource optimization, and further network resource allocation optimization and communication network green technologies for energy efficiency. Fujitsu develops 6G network green and AI autoscaling technologies that enable /disable network traffic load-driven cloud-based software controlled base station automation. AI and extended-reality-powered multi-access edge computing can achieve ultra-low latency communications, enhance data-visibility-based situational awareness, and enable virtualized base station parallel processing and sustainable digital transformation. Multi-access edge-computing-based low-latency communications integrate high-load data and wireless base station system processing management. Photoelectric fusion and network valorization technologies enable reduced environmental impact across sustainable digital infrastructure, optimize computing resources, ensure high-quality connectivity, and enhance network resource utilization. Through digital twin software-defined base station virtualization and quantum-inspired computing technologies, Fujitsu aims to build sustainable 6G network infrastructures while decreasing the environmental impact in terms of carbon emissions output by connected IoT devices. Industrial generative AI and knowledge graph technologies can augment productivity in business operations by wireless base station communication processing and virtualized 6G base station software for energy consumption reduction. Augmented and virtual reality technologies can be harnessed in stable demand forecasting and management decisions for enterprise-wide scale productivity and organizational effectiveness by big-data-based knowledge graph generation automation. Generative AI amalgamation technologies can optimize supply chain and enterprise value proposition, performing energy-efficient sustainable business transformation in agile organizations by integrating mobile network connectivity, cloud-based AI services, and predictive analytics tools. Industry 4.0 generative AI systems can increase high-computing-power-based business process and data connection in smart factory and manufacturing environments.