Distributed Tsetlin Machine-Based Learning for Energy-Efficient Wireless Sensor Networks*
This work-in-progress paper proposes a two-level intelligence framework for improving energy efficiency and service continuity in large-scale wireless sensor networks (WSN) operating under QoS constraints and asynchronous node behavior. At the edge level, each sensor node embeds lightweight, interpretable decision logi...