Towards Reliable and Optimized IoT Applications Using Taguchi Algorithm and Intelligence

Abstract

This paper introduces a swift optimization technique for adaptive lobes in intelligent antenna systems, aimed at improving power delivery to users while reducing interfer-ence. It focuses on enhancing wireless communication performance and reliability by prioritizing coverage and signal-to-interference ratios (SIR and SINR). This approach employs a feeding mechanism to align with a designated radiation pattern, facilitating targeted power concentration toward user directions. Additionally, the application of the Taguchi method on UWB antennas plays a determinant role in physical security and intelligent communication, improving the global effectiveness of these systems in various operational environments.