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This work combines theoretical understanding with real-world applications to optimize mobility in sensor-actor networks. An extensive study of the literature examines the field for wireless sensor networks, including everything from sophisticated threat detection of mobile devices to methods for reducing congestion. With TinkerCAD for simulation & Arduino in hardware control, the suggested methodology emphasizes practicality and highlights servo motors as vital parts for actuation. This innovative method incorporates hardware control, providing a concrete connection between theoretical concepts and practical implementations. This methodology offers a comprehensive view of the operational elements of sensor-actor networks by addressing mobility optimization concerns in dynamic situations. The suggested model is demonstrated by Figures 1 through 5 and includes TinkerCAD visualizations, servo control of the motor, and an Arduino setup. The hardware specs and code samples that are provided show how mobility optimization is actually achieved in practice. The findings highlight the importance of real-world applications, improving the comprehension and suitability of sensor-actor systems in dynamic environments. This paper highlights the value of practical experimentation by providing a novel way for sensor-actor network mobility optimization. For those in the field looking to improve the efficiency and efficacy of dynamic networked systems, the suggested model is a useful tool.