Adaptive and Energy-Efficient IoT Routing via DOS-RL with Bayesian Hyperparameter Tuning in SDN-Driven Architectures

Authors

  • Mrs. M. Senthamil Selvi, Dr. L. Sudha Author

DOI:

https://doi.org/10.48047/9ht32y94

Keywords:

SDWSN-IoT; multi-objective routing; Bayesian optimization (BO); Hyperparameter tuning; reinforcement learning; energy-efficient routing

Abstract

The Internet of things (IoT) rapidly grew, and numerous services, programs, sensor-equipped electronics, and related protocols were created and are still being worked on today by enabling physical objects to communicate with one another and share helpful data while making decisions and performing or working on their significant tasks. Wireless sensor networks (WSNs) significantly advance the IoT by serving as a permanent layer.

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References

Kasim Al-Aubidy, A.W. Al Mutairi, and Ahmad Derbas. Real-time healthcare monitoring system using wireless sensor network. International Journal of Digital Signals and Smart Systems, 1:26, 01 2017.

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Published

2025-02-03

Issue

Vol. 54 No. 3 (2025): Year 2025, Volume 54, Issue 3

Section

Articles

License

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How to Cite

Mrs. M. Senthamil Selvi, Dr. L. Sudha. (2025). Adaptive and Energy-Efficient IoT Routing via DOS-RL with Bayesian Hyperparameter Tuning in SDN-Driven Architectures. Cuestiones De Fisioterapia, 54(3), 173-192. https://doi.org/10.48047/9ht32y94