A Q-learning-assisted self-healing wireless sensor network for industrial carbon capture monitoring: a controlled HIL study
Wireless sensor networks (WSNs) used for carbon capture and storage (CCS) monitoring must maintain low latency, high packet delivery ratio, rapid recovery after node or link failure, and stable energy consumption under harsh industrial conditions. Existing static and reactive adaptive routing approaches often treat f...