N-Beats for Backup Routing Optimization in Cloud Acknowledgement Scheme for a Node Network

Abstract Advanced machine-learning techniques are recognized as a powerful support tool for routing optimization in node networks. Moreover, the capabilities of cloud computing have grown immensely with advances in hardware. Real-time machine learning is enabled by better connectivity, processing power, and memory units. This paper proposes and evaluates the N-Beats technique for cloud acknowledgement schemes. It provides insights into the transmission trend and the tendencies of particular nodes or groups of neighbouring nodes in a network. We performed a set of experiments, and the results are remarkable for their high accuracy.