Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Optimized energy efficient cluster based routing protocol for real time communication in 5G enabled VANETs using reinforcement learning
Related
- Provably Efficient Risk-Sensitive Offline Reinforcement Learning via Optimized Certainty Equivalents
- Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost
- A Low-Phase-Noise InGaAs/GaAs BiHEMT Balanced Colpitts VCO with Deep-Learning-Optimized On-Chip Inductor for Satellite Communication Applications
- Resource optimization for RIS-UAV integrated air-ground cooperative semantic communication driven by deep reinforcement learning
- FEDCODE: A Framework and Experimental Study of Model-Update Compression for Communication-Efficient Federated Learning
BibTeX
@article{kumar2026optimized,
title = {{Optimized energy efficient cluster based routing protocol for real time communication in 5G enabled VANETs using reinforcement learning}},
author = {M. Arun Kumar and Ramesh Babu Somisetty and M. Pradeep and C. Arunkumar},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-76292-4},
url = {https://www.nature.com/articles/s41598-026-76292-4},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Optimized energy efficient cluster based routing protocol for real time communication in 5G enabled VANETs using reinforcement learning
AU - M. Arun Kumar
AU - Ramesh Babu Somisetty
AU - M. Pradeep
AU - C. Arunkumar
PY - 2026
DA - 2026/10/15
JO - Scientific Reports
DO - 10.1038/s41598-026-76292-4
UR - https://www.nature.com/articles/s41598-026-76292-4
SN - 2045-2322
ER -