no code implementations • 8 Mar 2022 • Biplav Choudhury, Prasenjit Karmakar, Vijay K. Shah, Jeffrey H. Reed
The proposed v-PPO based AoI scheduler adapts well to changing network conditions and accounts for unknown traffic generation patterns, making it practical for real-world IoT deployments.
no code implementations • 12 Jul 2021 • Biplav Choudhury, Vijay K. Shah, Aidin Ferdowsi, Jeffrey H. Reed, Y. Thomas Hou
Our simulation results show that DQN-based scheduler outperforms MAF-MAD scheduler and three other baseline schedulers, i. e., Maximal AoI First (MAF), Round Robin (RR) and Random, employed at both hops under general conditions when the network is small (with 10's of IoT devices).