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Lessons Learned from a Distributed RF-EMF Sensor Network.

Sam Aerts1, Günter Vermeeren1, Matthias Van den Bossche1

  • 1WAVES, Ghent University/imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium.

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Summary
This summary is machine-generated.

This study developed a low-cost sensor network for monitoring radiofrequency (RF) electromagnetic fields (EMF) exposure. The findings provide insights for designing future RF-EMF monitoring systems in urban environments.

Keywords:
distributed sensor networkradiofrequency electromagnetic fields (RF-EMF)sensor nodespatiotemporal exposure assessment

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Area of Science:

  • Environmental Science
  • Electrical Engineering
  • Public Health

Background:

  • Growing wireless technology necessitates accurate environmental radiofrequency (RF) electromagnetic fields (EMF) exposure monitoring.
  • High costs of RF sensors and rarity of dedicated networks limit current monitoring capabilities.
  • Smart city infrastructure offers potential for dense sensor networks but requires cost-effective solutions.

Purpose of the Study:

  • To design and evaluate a low-cost RF-EMF sensor node for high-temporal-resolution monitoring.
  • To deploy and analyze data from a distributed network of fixed and mobile RF-EMF sensors.
  • To determine optimal sampling strategies, sensor density, and identify exposure hotspots.

Main Methods:

  • Designed a low-cost RF-EMF sensor node monitoring four key wireless telecommunication frequency bands.
  • Deployed a network of fixed (building façades) and mobile (postal vans) sensor nodes.
  • Collected and analyzed nearly 10 million samples over 16 months (Jan 2019 - May 2020).

Main Results:

  • Identified potential errors from low sampling rates and short measurement durations, recommending a 30-minute resolution for temporal profiles.
  • Deduced an adequate sensor density of 100 nodes/km² for future networks based on sensor correlation.
  • Utilized mobile nodes to map RF-EMF hotspots across over 60 km².

Conclusions:

  • The study demonstrates the feasibility of low-cost RF-EMF sensor networks for urban monitoring.
  • Findings offer practical guidance for optimizing sensor density, sampling rates, and deployment strategies.
  • The research provides crucial insights for future designs and deployments of distributed RF-EMF sensing networks.