Machine Learning Techniques in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Authors

  • Mohammad Faiz School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India
  • Ramandeep Sandhu School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India
  • Mohd Akbar Dept. of Computer Science & Engineering Integral University, Lucknow, Uttar Pradesh, India
  • Anwar Ahmad Shaikh Dept. of Computer Science & Engineering, KL University Vijaywada, Andhra Pradesh, India
  • Chandani Bhasin School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India
  • Nausheen Fatima School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India

Keywords:

Wireless Sensor Network, Machine Learning, IoT, Neural Network

Abstract

This research work explores the use of machine learning techniques in wireless sensor networks (WSNs) to address rapidly changing environmental conditions and optimize resource utilization. Through a comparative evaluation of different machine learning algorithms, this work provides a guide for WSN designers to develop effective and practical solutions for their specific application problems. Results demonstrate the potential of machine learning to improve performance, energy efficiency, and scalability in WSNs. However, the use of machine learning techniques also presents certain challenges, such as the need for large amounts of data and the risk of over fitting. This research highlights the importance of careful consideration of these challenges when implementing machine learning techniques in WSNs. Overall, this research work provides insights into the potential of machine learning to enhance the capabilities of WSNs and opens up new avenues for future research.

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References

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Published

12.07.2023

How to Cite

Faiz, M. ., Sandhu, R. ., Akbar, M. ., Shaikh, A. A. ., Bhasin, C. ., & Fatima, N. . (2023). Machine Learning Techniques in Wireless Sensor Networks: Algorithms, Strategies, and Applications. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 685–694. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3217

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

License

Copyright (c) 2023 Mohammad Faiz, Ramandeep Sandhu, Mohd Akbar, Anwar Ahmad Shaikh, Chandani Bhasin, Nausheen Fatima

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