Reliability Analysis of Selective Transmission Enabled Wireless Sensor System in IIoT

This article proposes a selective transmission enabled wireless sensor system (STES) for reducing the amount of data transmissions from the sensor node, which is a major source of energy consumption and carbon footprint in the Industrial Internet of Things (IIoT). The STES data reduction capability is analyzed in terms of mean square error (mse). The reduction in misadjustment based on estimation error enables the improvement in data reduction capability of the system. Depending on the desired reliability (DR), when the estimation error is above the DR, the corresponding input data are utilized to enhance the system’s tracking ability. The effect of system length and real-time step size constant on data transmission reduction has been studied. Simulation results validate that the amount of data transmission reduction improves when the system reliability is reduced and vice versa. The STES allows nodes to reduce transmissions by 96.95%, whereas state-of-the-art systems such as adaptive method for data reduction (AM-DR) and optimal step size least mean square (OSSLMS) achieve reductions of 93.05% and 88.7%, respectively, for DR of 0.5°C. Furthermore, for DR of 0.5%, the proposed system outperforms the state-of-the-art systems by 42.12% and 46.73%, respectively.