Wireless Sensor Networks (WSNs) are critical in monitoring and collecting data across diverse applications such as environmental surveillance, disaster response, and smart infrastructure. However, the dual challenge of maximizing network coverage and prolonging operational lifetime persists due to constraints on sensor energy and dynamic environmental conditions. To improve WSN performance, this research proposes hybrid optimization strategy that includes static and fixed sensor nodes while employing single-hop and multi-hop communication strategies. We have suggested an integrated stable deployment of static nodes with the adaptability of movable nodes to dynamically address coverage gaps and balance energy consumption. Static node placement, movable node movement patterns, and effective routing protocols are all determined through advanced optimization techniques. In comparison to traditional WSN configurations, simulation results indicate that proposed hybrid approach substantially improves network coverage that extends lifetime. By bridging the strengths of static and movable nodes and leveraging single-hop and multi-hop communication, this study offers a robust and energy-efficient solution to the critical challenges faced by WSNs. The findings have significant implications for the deployment of WSNs in dynamic and resource-constrained environments, paving the way for more resilient and adaptive sensing networks.