2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 13 , Issue 2 , PP: 25-34, 2024 | Cite this article as | XML | Html | PDF | Review Article
Julissa E. Reyna-Gonzalez DRA 1 * , N. K. Rayaguru 2 , Gowrishankar J. 3 , Bhargavi Gaurav Deshpande 4 , Madhur Grover 5 , Daxa Vekariya 6
Doi: https://doi.org/10.54216/JISIoT.130202
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.
Adaptive Nano-Scale Sensor Network , Advanced Algorithms , Ant Colony Optimization , Data Accuracy , Data Aggregation , Dynamic Environmental Monitoring , Energy Consumption , Energy Harvesting , Nanoscale , Network Performance , Real-Time , Sensor Deployment , Sustainable Data Collection , Wireless Sensor Networks.
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