Internet of Things (IoT) is a group of interconnected devices which contain sensors to collect useful data. Artificial Intelligence (AI) techniques like Machine learning (ML) and Deep Learning (DL) are very much popular in many applications including IoT. In this paper, an adaptive duty-cycle scheduling using Bi- Directional Long Short-Term Memory (BiLSTM) algorithm and Self Configuration and Self- healing Framework Using XGBoost Classifier is proposed for IoT-WSN networks