An explainable reinforcement learning framework for energy-aware cluster head selection in smart-city IoT wireless sensor networks
Cluster head (CH) selection is a decisive control mechanism for prolonging the operational lifetime of Internet-of-Things (IoT)-enabled wireless sensor networks (WSNs) that underpin smart-city sensing. Although reinforcement learning (RL) has produced increasingly capable CH selectors, three weaknesses persist across...