Energy Efficient Routing Using Support Vector Machine in Wireless Sensor Networks

Authors

  • M. Srinivasan Professor, Department of IT, P.S.V College of Engineering and Technology, Tamilnadu, India.
  • Kantharaju HC Associate Professor, Department of AI & ML, Vemana Institute of Technology, India.
  • Suresh Govindasamy Assistant Professor, Department of EEE, Sona College of Technology, India.
  • Mohammad Abdur Rasheed Assistant Professor, College of Engineering Dawadmi, Shaqra University, Shaqra, Saudi Arabia.
  • Ramesh Babu P. Associate Professor, Department of Computer Science, College of Engineering and Technology, Wollega University, Ethiopia.
  • Parveen Sultana Associate Professor, Vellore Institute of Technology, Tamilnadu, India.

Keywords:

Energy Efficiency, SVM, Machine learning, Routing, Wireless Sensor

Abstract

Cluster head selection and energy utilization are efficiently managed using a conventional routing mechanism employing Wireless Sensor Nodes (WSNs). The paper propose a method to enhance network lifetime with an average greater energy utilization. The SVM is used to tackle routing problems in the mobile base station connected with the infrastructure network. The protocol is intended to avoid the control by a centralised router or mobile base station of the complete mobile sensor nodes. In comparison to traditional energy efficient algorithms, the validation of SVM methodology shows an effective routing efficacy. The results against typical routing techniques over WSNs have been found successful.

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References

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Published

05.12.2023

How to Cite

Srinivasan, M. ., HC, K. ., Govindasamy, S. ., Rasheed, M. A. ., Babu P., R. ., & Sultana, P. . (2023). Energy Efficient Routing Using Support Vector Machine in Wireless Sensor Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 320 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4075

Issue

Vol. 12 No. 7s (2024)

Section

Research Article

License

Copyright (c) 2023 M. Srinivasan, Kantharaju HC, Suresh Govindasamy, Mohammad Abdur Rasheed, Ramesh Babu P., Parveen Sultana

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