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Related Experiment Video

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Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

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Published on: May 2, 2018

Analysis of Human Body Shadowing Effect on Wireless Sensor Networks Operating in the 2.4 GHz Band.

Łukasz Januszkiewicz¹

¹Institute of Electronics, Lodz University of Technology, ul. Wólczańska 211/215, 90-924 Łódź, Poland. lukasz.januszkiewicz@p.lodz.pl.

Sensors (Basel, Switzerland)

|October 14, 2018

Summary

Human bodies significantly increase path loss in wireless sensor networks operating at 2.4 GHz. This study introduces a validated human body model to predict and mitigate this body shadowing effect in network design.

Keywords:

FDTD UTD body shadowing computational electromagnetics path loss wireless sensor networks

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Area of Science:

Electrical Engineering
Computer Simulation
Wireless Communication

Background:

Wireless sensor networks (WSNs) require low power, necessitating reduced transmit power and fade margin.
Path loss between transmitters and receivers is a critical factor in WSN design.
The 2.4 GHz frequency band is widely used for WSNs, making its performance characteristics crucial.

Purpose of the Study:

To analyze the impact of human bodies on radio path loss at 2.4 GHz.
To develop a human body model for simulating body shadowing effects in indoor WSN environments.
To validate the proposed model against experimental measurements.

Main Methods:

Full-wave finite-difference time-domain (FDTD) simulations were used to analyze body shadowing in localized regions.
A novel human body model was developed for use with ray-based computer programs.
The model was employed to simulate body shadowing in a typical indoor environment.

Main Results:

FDTD simulations provided initial insights into the body shadowing effect.
The proposed human body model enabled analysis of larger indoor environments.
Simulation results using the new model showed good agreement with real-world measurements.

Conclusions:

Human bodies introduce significant path loss, or shadowing, in the 2.4 GHz band.
The developed human body model is effective for predicting shadowing effects in indoor WSNs.
The model aids in optimizing WSN design to account for human presence.