IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation

This paper proposes IGADA-IoT, an information gap-guided automatic data augmentation framework for IoT sensor energy optimization in wireless sensor networks. It utilizes hierarchical multi-generator collaboration and scheduling to address limitations of existing methods, suchading on single generators.