<p>Wireless sensor networks have become indispensable in many applications due to their economic advantages and the ability to perform tasks in hazardous environments where the presence of humans is difficult or risky. Nonetheless, the limited energy resources of sensor nodes remain one of the most critical barriers to widespread deployment. The existing protocols, such as LEACH, EECS, and EEBCDA, provide foundational solutions but do not resolve inefficiencies in CH selection, static network division, and multi-hop transmission strategies. An optimized clustering methodology has been recommended in this investigation based on the Q-LEACH protocol for furthering the state of the art on WSN energy management, to overcome such limitations. The network is divided into distinct regions with clear CH selection and clustering strategies that balance energy usage and equitably distribute the lifetime of nodes. Data aggregation at different hierarchies avoids redundancy in transmission and reduces energy loss. Simulation outcomes prove the recommended tacticology surpasses the existing protocols in terms of energy efficiency, stability of the network, and overall lifetime, with clear improvements in the instability phase before the total depletion of nodes. It mainly contributes to the introduction of heterogeneous clustering, optimization of multi-hop transmission strategies, and dynamic partitioning for adapting to heterogeneous node distributions. This work advances WSN optimization by addressing critical gaps in existing methodologies and providing a robust framework for energy-efficient operation. These outcomes will have important implications for the extension of WSN lifetime in various applications, including environmental monitoring, disaster management, and industrial automation. Future research can leverage these findings for further enhancement of WSN performance and adaptability.</p>