Collaborative Intelligent Confident Information Coverage Node Sleep Scheduling for 6G-Empowered Green IoT

Abstract

The Internet of Things (IoT) enabled by 6G increases the number of devices and users exponentially. 6G IoT will cover the overall domain of the world. Due to the limited resources in the IoT environment, greener and smarter networks are indispensable for the sustainable development of the 6G IoT. In this paper, the issue of improving resource efficiency and extending network lifetime is studied. We propose a novel Confidence Information Coverage (CIC) node sleep scheduling algorithm based on reinforcement learning (CICRL). In CICRL, collaborative intelligence is achieved through Q-learning to meet the coverage rate with the least active nodes, thus balancing the energy consumption and prolonging the network lifetime. Compared with the Coordination Algorithm based on Reinforcement Learning (COORD), Low-Energy Adaptive Clustering Hierarchy (LEACH) and Sleep Scheduling Approach based on Learning Automata (PCLA), the simulation results demonstrate that the proposed algorithm satisfies coverage with fewer active nodes and improves the network lifetime substantially.