Estimates and measurements of radiofrequency exposures in smart-connected homes

Abstract

Overview

The research focused on quantifying the levels of radiofrequency electromagnetic energy (RF-EME) in residents’ homes equipped with various wireless or Internet of Things (IoT) devices. The study aimed to develop a tool for estimating RF-EME levels in home environments.

Methodology

• Measurements were conducted over three years, involving 55 IoT devices across 23 different categories.
• Devices were tested in both residential settings and controlled laboratory environments.
• A predictive software was developed based on these measurements.

Findings

Even maximum operation of one device in each of the 23 categories produced significantly low exposure levels compared to international guidelines. Detailed measurements in smart apartments with over 50 and 100 IoT devices showed minimal exposure increases.

Conclusion

The developed predictive software offers a conservative yet realistic estimation of RF-EME exposure. It considers various factors like device number, operational intensity, and proximity. Additionally, future enhancements will include expanded device categories and considerations for physical barriers like walls and windows.