Temporal Convolutional Network-Based Time-Series Forecasting for Cluster Head Prediction in Energy-Constrained WSN-Based IoT

In Wireless Sensor Networks-based Internet of Things environments, efficient Cluster Head (CH) selection remains a fundamental challenge, as the limited energy resources of sensor nodes critically affect network lifetime and service sustainability. Existing clustering strategies are often reactive, overlooking temporal dependencies in CH election processes, which leads to unnecessary energy dissipation and increased communication overhead. To address this gap, we propose a predictive clustering