An Efficient Algorithm to Minimize EVM Over ZigBee

Abstract

Advanced technology market desires more durability and reliability from wireless technologies, but during the transmission different factors, i.e., node failure, delay, data traffic, noise, distortion, etc., reduce the quality of communication. To overcome from such factors, some relatable parameters like signal-to-noise ratio (SNR), Error Vector Magnitude (EVM), Bit Error Rate (BER), etc., have been defined to describe the performance of a signal in the transmission. ZigBee is a wireless personal area network standard, which is designed for monitoring and control applications, i.e., home and industrial automation, grid monitoring, asset tracking, etc., because it is less expensive and more efficient than other wireless technologies. In this work, Error Vector Magnitude (EVM) is considered as a performance measuring metric for the quality of digitally modulated transmission in ZigBee wireless network and it is minimized for the improvement in reliability and efficiency of the transmission. However, by simulating the ZigBee sensor network in 2.4 GHz frequency by Offsetting the Quadrature Phase Shift Keying (OQPSK) modulation with half-sine pulse shaping filter minimizes the root mean square value of EVM is to 0.1% which is more efficient than Binary Phase Shift Keying (BPSK) with Root Raised Cosine (RRC) filter.