Modeling and Creation of a Remote Monitoring Network for Industrial Enterprises

Abstract

The problems of designing and setting up an IoT-based remote monitoring network are examined in this essay. In industrial and environmental monitoring systems, it is crucial to ensure dependable real-time data transmission, boost network stability, and improve energy efficiency. This paper proposes a multi-tiered Internet of Things architecture including sensor nodes, a data transmission module, and a server component. Equations for figuring out the number of nodes, evaluating coverage area, computing energy usage, and predicting transmission latency are provided, along with a monitoring system. Furthermore, a system for dynamically regulating transmission frequency under both normal and critical situations has been established through the development of an adaptive data transmission algorithm. A model network is suggested to lessen network load, and it permits the sensible use of energy resources and improved data transmission dependability. The findings of the experimental assessment show that the monitoring system's efficiency is much greater than that of traditional options.