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Integrating a Wall Attenuation Factor (WAF) into Wi-Fi-based localization algorithms to account for material-specific signal degradation significantly improves indoor positioning accuracy, reducing errors from 1-2.5 meters to 20-50 centimeters. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

June 9, 2026Open Access

Impact of Building Materials on Wi-Fi Signal Propagation and Positioning Accuracy

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This study aims to quantify the impact of different building materials on Wi-Fi signal propagation and positioning accuracy within indoor environments.
Examined Wi-Fi signal propagation through concrete, drywall, glass, white-faced hardboard, and wood.
Introduced Wall Attenuation Factor (WAF) to quantify signal loss and integrated it into localization algorithms.
Conducted experiments to measure positioning accuracy before and after WAF integration.
Incorporating WAF improved positioning accuracy, reducing errors from 1–2.5 m to 20–50 cm.
Coordinate accuracy enhanced from 0.5–6 m (X) and 1–4 m (Y) to 10–65 cm (X) and 20–30 cm (Y).
Concrete walls exhibited the highest signal attenuation, while wood and hardboard showed minimal degradation.

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Randomized trial investigates Wi-Fi signal loss through various wall materials, suggesting improved localization accuracy.

Cite This Study

ATNM et al. (2026) studied this question.

synapsesocial.com/papers/6a27ae3fa963992e16268589 https://doi.org/10.5281/zenodo.20546777

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Impact of Building Materials on Wi-Fi Signal Propagation and Positioning Accuracy

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Implication

Cite This Study

Impact of Building Materials on Wi-Fi Signal Propagation and Positioning Accuracy

Key Points

Discussion

Implication

Cite This Study

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