ABSTRACT
The goal of the work is to improve wireless communication and operational performance at a manufacturing plant by deploying a cognitive radio system. The system continuously modifies communication parameters to enhance spectrum efficiency, throughput, and reliability across several workstations by incorporating synchronized sensor data. Notable improvements on every workstation demonstrate that this analysis significantly increases throughput and spectrum efficiency while minimizing packet error rates. The system's increased capabilities enable real-time monitoring and prompt action based on precise timestamped data. The cooperative nature of the cognitive radio system minimizes interference and creates a wireless environment that is not disruptive, which is necessary for complex manufacturing processes. Remarkably, the system also affects predictive maintenance and energy efficiency since synchronized sensor data offers useful insights into the condition of the equipment. The study highlights how cognitive radio has the ability to revolutionize the manufacturing sector by providing scalable solutions to handle communication problems, cut down on downtime, and advance the sector's efficiency and dependability. This work offers a critical framework for utilizing intelligent communication systems to enhance the effectiveness of complex industrial environments and optimize operational procedures in light of the changing manufacturing landscape.
