To improve Wireless Sensor Networks (WSNs), this study suggests incorporating a modified Cat Swarm Optimization (CSO) algorithm into the LEACH protocol. Enhancing energy efficiency and prolonging the network's operational life are the primary objectives. Because sensor nodes have a limited battery capacity, energy efficiency is still a problem despite numerous recent attempts to increase WSN endurance. By minimizing energy consumption and improving network performance, this approach tackles these problems. By combining the benefits of the CSO algorithm, the proposed method effectively overcomes this challenge within this context. The investigation includes a detailed analysis and assessment of the CSO algorithm, which is renowned for its robustness and effectiveness as a swarm-based metaheuristic optimization technique. Metrics like packet delivery ratio, network longevity, and energy usage are used to evaluate the performance gains. The simulation results show that the suggested approach significantly increases the energy efficiency and robustness of WSNs, making it a viable option for upcoming WSN applications. All things considered, the CSO-based LEACH protocol can be a useful instrument for WSN optimization across a range of fields, such as security, health monitoring, forecasting, and remote monitoring.