Abstract : Wireless Sensor Networks (WSNs) have gained popularity in environmental monitoring, the Internet of Things, industrial operation control, electric distribution, and the oil industry due to their many uses. Sensor nodes' limited energy resources are a fundamental concern in these networks. Power consumption is managed by clustering and routing algorithms, therefore optimization and efficient routing protocols are vital. We present a WSN routing technique to reduce energy usage and improve network connection. We use static clustering and dynamic cluster head (CH) selection in our algorithm. This technique divides the network into many fixed sections, with CHs chosen based on residual energy, degree (number of surrounding nodes), and sensor node distance from sink. Simulations show that our routing algorithm beats LEACH, LEACH-C, and DR in network connectivity and power consumption. The novel static clustering and dynamic CH selection methods save energy and extend the network's lifespan and reliability. Our research shows that optimal routing algorithms can boost WSN performance and sustainability, enabling more durable and energy-efficient sensor networks in many application domains.