Emerging Trends: Nano-Scale Wireless Sensor Networks and Applications

 

Julissa E. Reyna-Gonzalez DRA1*, N. K. Rayaguru2, Gowrishankar J.3, Bhargavi Gaurav Deshpande4, Madhur Grover5, Daxa Vekariya6

 

1Professor at the Faculty of Industrial Engineering and Systems-Universidad Nacional Hermilio Valdizan, Huanuco Perú

 2Associate professor, department of EEE. Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology, Chennai,  India

3Assistant Professor, Department of Computer Science Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bangalore, Karnataka, India

4Assistant Professor, Department of ISDI, ATLAS SkillTech University, Mumbai, Maharashtra, India

5Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh-174103 India

6Associate Professor, Department of Computer Science and Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India

Emails: jelizareynag@gmail.com; rayagurunk@veltech.edu.in; gowrishankar.j@jainuniversity.ac.in; bhargavi.deshpande@atlasuniversity.edu.in; madhur.grover.orp@chitkara.edu.in; daxa.vekariya18436@paruluniversity.ac.in

Text Box: Abstract 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.  


Received: September 18, 2023 Revised: February 02, 2024 Accepted: June 17, 2024

 

Keywords: 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.