Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2919 2019 2019 Professor at the Faculty of Industrial Engineering and Systems-Universidad Nacional Hermilio Valdizan, Huanuco Perú Julissa Julissa Associate professor, department of EEE. Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology, Chennai, India N. K. Rayaguru Assistant Professor, Department of Computer Science Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bangalore, Karnataka, India Gowrishankar. J. Assistant Professor, Department of ISDI, ATLAS SkillTech University, Mumbai, Maharashtra, India Bhargavi Gaurav Deshpande Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh-174103 India Madhur Grover Associate Professor, Department of Computer Science and Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India Daxa Vekariya New Adaptive Nano-Scale Sensor Network (ANSN) can quickly feel nanoscale surroundings. ANSN uses data in many scenarios to improve networks, consume less energy, and gain more accurate data. ANSI essentials are covered in detail here. This group has numerous parts. Making service better, collecting data with less energy, sending data with Q-learning, merging sensor data to increase accuracy, controlling power dynamically, and protecting data using AES are examples. Energy collection and sensor use are key to this effort. Academic research has proven that ANSN outperforms other techniques in several areas. Improvements include speed, security, latency, sensor accuracy, and network stability. With these changes, ANSN may be suitable for small wireless sensor networks. 2024 2024 25 34 10.54216/JISIoT.130202 https://www.americaspg.com/articleinfo/18/show/2919