Wireless sensor networks (WSNs) usually encounter significant obstacles in extending the network longevity due to energy scarcity and large-scale random deployment of sensors. Hierarchical cluster-based routing protocols like LEACH that can prolong network survival are well-suited for WSNs. However, LEACH adopts a probabilistic function to randomly select the cluster head (CH), most likely resulting in the choice of nodes with low energy levels being picked as CHs and an uneven distribution of CHs. To address the randomness in CH selection, we propose the energy and distance weighted dynamic clustering (EDDC) protocol for WSNs, which combines control parameters that encompass residual energy, distance from nodes to the base station (BS), and the percentage of optimal number of clusters in the CH selection mechanism. Consequently, EDDC gives priority to the node possessing the greatest residual energy that is geographically close to BS as the CH to equalize energy expenditure. Simulation results indicate that our proposed EDDC surpasses LEACH protocol when it comes to residual energy and network lifespan, showing its effectiveness in enhancing the endurance of WSNs.