With the rapid growth of IoT platform technology, many sensors and devices can be connected. IoT applications require energy efficiency because most IoT devices run on constrained battery power. IoT applications involve many smart devices, making energy issues more essential for decreasing carbon footprints and costs. Moreover, energy efficiency is crucial because IoT platforms comprise many interconnected devices and services that require a lot of energy. With the strong emergence of AI nowadays, the IoT platform is integrated with AI to enhance the decision-making process in the IoT platform, improving the value of the data generated by the IoT platform. The integration between the IoT platform and AI functionality birthed a new paradigm called the intelligent IoT platform. This Recommendation specifies the functional requirements essential for achieving sustainable and robust energy efficiency in intelligent Internet of Things (IoT) platforms. These platforms, defined as comprehensive technological frameworks integrating Artificial Intelligence (AI) and edge computing, face significant energy challenges due to the computational complexity introduced by AI and the collective power demand of a massive volume of interconnected devices. Recognizing that the integration of Artificial Intelligence (AI) and the immense scale of IoT deployments introduce significant energy consumption challenges, this document mandates a holistic approach to energy management across the entire system. This Recommendation first identifies considerations for energy management in intelligent IoT platforms in the aspect of hardware specifications, data collection and processing, AI models, and operation and management. Functional requirements for energy efficiency in intelligent IoT platforms are then addressed in the aspect of intelligent data acquisition and processing, energy-efficient communication protocols, dynamic AI resource management, Energy monitoring and management, AI-enhanced energy optimization, and lifecycle energy efficiency management. In addition, best practices to improve energy efficiency in intelligent IoT platforms in Appendix I with energy-aware IoT architecture design, energy-efficient data management, green network and communication, AI-based energy optimization, energy harvesting and sustainable power solutions, and cooperative energy saving techniques with edge and cloud.

Originally consented under number L.1340, it was renumbered L.1341, as that number was already in use by a Recommendation currently in force.