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.

Downloads

Download data is not yet available.

References

Shahidinejad, A., &Barshandeh, S. (2020). Sink selection and clustering using fuzzy‐based controller for wireless sensor networks. International Journal of Communication Systems, 33(15), e4557.

Amutha, J., Sharma, S., & Sharma, S. K. (2021). Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy, research findings, challenges and future directions. Computer Science Review, 40, 100376.

Saravanan V, Mohan Raj V, “A Seamless Mobile Learning and Tension Free Lifestyle by QoS Oriented Mobile Handoff”, Asian Journal of Research in Social Sciences and Humanities, Asian Research Consortium, vol. 6, no. 7, pp. 374-389, 2016.

Dhinnesh, A. N., &Sabapathi, T. (2021). Probabilistic neural network based efficient bandwidth allocation in wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing, 1-12.

Chang, V., Gobinathan, B., Pinagapani, A., Kannan, S., Dhiman, G., &Rajan, A. R. (2021). Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification. Computers & Electrical Engineering, 92, 107186.

Sumathi A, Saravanan V, “Bandwidth based vertical handoff for tightly coupled WiMAX/WLAN overlay networks”, Journal of Scientific & Industrial Research, vol. 74, pp. 560-566, 2015.

Saravanan V, Sumathi A, “Handoff mobiles with low latency in heterogeneous networks for seamless mobility: A survey and future directions”, European Journal of Scientific Research, vol. 81, no. 3, pp. 417-424, 2012.

Downloads

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://www.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

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.