This work proposes a novel Parameterized Energy-Efficient Clustering Protocol (PEECP) to address the energy consumption challenges in Wireless Sensor Networks (WSNs) for Internet of Things (IoT) applications. Energy consumption is a major concern for resource constrained IoT devices, and efficient protocols are needed to extend network lifetime and ensure reliable data transmission. PEECP utilizes a dynamic and adaptive clustering technique that organizes sensor nodes into clusters based on parameterized criteria, such as node energy levels, communication range, and data sensing rates. The protocol also incorporates mechanisms for intra-cluster data aggregation, inter cluster collaboration, and adaptive transmission power control to optimize energy usage. The performance evaluation of PEECP in a simulated WSN environment shows significant improvements in energy efficiency, network lifetime, and data transmission reliability compared to existing clustering protocols. The impact of varying parameters on the protocol's performance is analyzed, providing insights for fine-tuning PEECP to different IoT scenarios. The development of PEECP contributes to creating sustainable and efficient IoT ecosystems by addressing the critical challenge of energy consumption in WSNs. The protocol's dynamic and adaptive nature makes it a promising solution for many IoT applications.