A dynamic reward framework for scalable and efficient IoT-WSN routing using deep reinforcement learning.
- DOI
- 10.1038/s41598-026-61080-x
- Published
- 2026-07-11
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61080-x,
title = {A dynamic reward framework for scalable and efficient IoT-WSN routing using deep reinforcement learning.},
author = {Betam S and Nagendram S and Kumar BP and Chennaiah MB and Aravinth SS and Rafi M and Naveed QN and Islam S and Assefa BG.},
year = {2026},
journal = {Sci Rep},
doi = {10.1038/s41598-026-61080-x},
url = {https://doi.org/10.1038/s41598-026-61080-x}
}RIS
TY - JOUR TI - A dynamic reward framework for scalable and efficient IoT-WSN routing using deep reinforcement learning. AU - Betam S AU - Nagendram S AU - Kumar BP AU - Chennaiah MB AU - Aravinth SS AU - Rafi M AU - Naveed QN AU - Islam S AU - Assefa BG. PY - 2026 JO - Sci Rep DO - 10.1038/s41598-026-61080-x UR - https://doi.org/10.1038/s41598-026-61080-x ER -
APA
S, B., S, N., BP, K., MB, C., SS, A., M, R., QN, N., S, I., & BG., A. (2026). A dynamic reward framework for scalable and efficient IoT-WSN routing using deep reinforcement learning.. Sci Rep. https://doi.org/10.1038/s41598-026-61080-x
Source records
- europe-pmc · retrieved 2026-09-26T01:38:20.563Z