Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach
- DOI
- 10.1038/s41598-026-35077-5
- Published
- 2026-03-11
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-35077-5,
title = {Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach},
author = {M. Vergin Raja Sarobin and S. Akil and S. Berin Shalu and S. Sriyaa and Yazhiniyan Tamizhnambi and S. HariShankar},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-35077-5},
url = {https://doi.org/10.1038/s41598-026-35077-5}
}RIS
TY - JOUR TI - Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach AU - M. Vergin Raja Sarobin AU - S. Akil AU - S. Berin Shalu AU - S. Sriyaa AU - Yazhiniyan Tamizhnambi AU - S. HariShankar PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-35077-5 UR - https://doi.org/10.1038/s41598-026-35077-5 ER -
APA
Sarobin, M. V. R., Akil, S., Shalu, S. B., Sriyaa, S., Tamizhnambi, Y., & HariShankar, S. (2026). Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach. Scientific Reports. https://doi.org/10.1038/s41598-026-35077-5
Source records
- crossref · retrieved 2026-09-26T13:55:03.803Z