Arun Kumar

A Delay-Aware Deep ReinforcementLearning-Based Adaptive Routing Scheme with Multi-Component Reward for Urban VANETs

The rapid evolution of Intelligent Transportation Systems (ITS) has necessitated resilient Vehicular Ad Hoc Networks (VANETs) capable of maintaining high-reliability communication under extreme mobility and unpredictable urban topologies. While traditional protocols like AODV and GPSR struggle with control overhead and...

Graph Driven Reinforcement Learning for Fault Tolerant TSN Routing in Underground Mines

Time Sensitive Networking (TSN) is currently highly needed in cyber-physical and Industrial Internet of Things (IIoT) domains. However, deploying it in harsh and changing environments such as underground mines is very difficult due to frequent node and link failures, interference, and unpredictable changes in the netwo...

Adaptive Q-learning and cross-layer queue management for UAV-assisted vehicular routing