Learning nodes: machine learning-based energy and data management strategy

Abstract The efficient use of resources in wireless communications has always been a major issue. In the Internet Things (IoT), energy resource becomes more critical. transmission policy with aid coordinator is not viable solution an IoT network, since node should report its state to for scheduling and it causes serious signaling overhead. Machine learning algorithms can provide optimal distributed mechanism little A learn by itself utilizing machine algorithm make decision on own. this paper, we propose novel Medium Access Control (MAC) protocol nodes. Nodes policy, i.e., minimizing data queue levels, using Q-learning algorithm. performance evaluation shows that proposed scheme enhances states throughput.