aspg-31-4409-1791686763 20261011024603 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Advances in Applied Computational Intelligence IJAACI 2833-5600 2026 8 1 S. Phani Praveen Associate Professor, Department of Computer Science and Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada – 520007, Andhra Pradesh, India Massila Kamalrudin Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia Sai Vellela Associate Professor, Department of CSE – Data Science, Chalapathi Institute of Technology, Guntur – 522016, Andhra Pradesh, India Deshinta Arrova Dewi Professor, Faculty of Data Science and Information Technology (FDSIT), INTI International University, Malaysia Dedeepya Pulletikurthy Department of Computer Science & Engineering, SRM university AP, Amaravati, Andhra Pradesh, India Klodian Dhoska Polytechnic University of Tirana, Tirana, Albania Due to the increasing adoption of IoT applications, there is a growing necessity for energy-efficient and sustainable WSN. Yet, traditional routing protocols tend to face problems like energy wastage, congestion, unreliable communication, and shorter network life spans under dynamic network conditions. This study presents the development of a DRL-powered Green IoT framework to enhance efficient communication through WSN while optimizing QoS performance. Specifically, the proposed framework employs the Deep Q-Network, Double Deep Q-Learning, adaptive clustering, and multi-objective optimization in order to enhance both routing and QoS performance. The model makes use of residual energy, congestion levels, throughput, delivery rate, and communication delays during its decision-making processes. Experimentation with the model was performed by making use of Python and NS-3. The simulation results showed that the presented model performed better than traditional routing methods like LEACH, PEGASIS, and HEED when evaluated on factors like energy preservation, enhanced throughput, minimized congestion, reduced delays, and increased network life spans. It can be concluded that DRL-powered communication optimization is a viable solution for the future development of Green IoT communication systems. 2026 20 32 4409 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJAACI.080104 https://www.americaspg.com/journal/31/article/4409 https://www.americaspg.com/storage/articles/manuscripts/01KVPM2T9CV87S0TAN0D81D138.pdf