@article{4100,
  author = {Dalibor Dobrilovic, Milica Mazalica, Goran Gecin},
  title = {A Model Using Open-Source Hardware and Software to Assess Wi-Fi Affects Zigbee’s Performance},
  journal = {Journal of Electronic Systems},
  year = {2024},
  volume = {14},
  number = {3},
  doi = {https://doi.org/10.6025/jes/2024/14/3/94-107},
  url = {https://www.dline.info/jes/fulltext/v14n3/jesv14n3_3.pdf},
  abstract = {Given the increasing use of wireless technologies in the Internet of Things and Wireless Sensor Networks, the issue of how these technologies can work together and be compatible becomes crucial. Wi-Fi and ZigBee technologies have established a strong foothold in the market and are widely used in various systems due to their extensive applications. It’s vital to assess how one technology might impact another. This paper introduces a method using open-source hardware and software to evaluate how Wi-Fi affects ZigBee’s performance. The testing setup is constructed using Arduino microcontroller boards. This document outlines the experiment, the setup, the approach, the tools for data collection and analysis, the insights from the experiments, and how these findings will shape future research. The findings in this paper provide a detailed understanding of the impact of IEEE 802.11 networks on the performance of IEEE 802.15.4 networks when operating within similar frequencies. The study shows that at a distance of about 12 meters, Wi-Fi can influence the performance of ZigBee, particularly when there is a frequency difference of 7 MHz or less.},
}