Embedded Sensor Networks for Smart Industrial Automation and Control Systems

Industrial automation and control systems have improved greatly using integrated sensor networks. These networks enable smart functionality, efficiency, and reliability in industrial contexts. This study analyzes embedded sensor network architecture, implementation, and prospective applications in smart industrial automation and control systems. This article details embedded sensor network technology and components. It examines sensors, data processing, and communication protocols that enable industrial sensor integration. Discussed include network scalability, energy efficiency, data dependability, and current solutions and research directions.Additionally, integrated sensor networks are changing industrial automation and control systems. It enables continuous checking, foresight support, and flexible control. These networks use cutting-edge machine learning and analytics algorithms to maximize system performance, resource usage, and intelligent decision-making. This page presents embedded sensor network case studies and examples from many industrial domains. Sensor networks improve worker safety, manufacturing efficiency, energy consumption, and downtime. The study also solves sensor data security and privacy problems. In conclusion, integrated sensor networks have changed how smart industrial automation and control systems monitor, manage, and optimize industrial processes. This research article provides insights into these networks' design, implementation, and applications to help researchers, engineers, and practitioners achieve intelligent and effective industrial automation.