A dynamic reward framework for scalable and efficient IoT-WSN routing using deep reinforcement learning.

Betam S, Nagendram S, Kumar BP, Chennaiah MB, Aravinth SS, Rafi M, Naveed QN, Islam S, Assefa BG.

Open source

DOI
10.1038/s41598-026-61080-x
Published
2026-07-11
Container
Sci Rep
Publisher
Not recorded
Open access
no

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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

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