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Researchers develop environment-aware LoRaWAN path loss models for improved indoor ranging

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new method for improving indoor ranging accuracy using LoRaWAN technology by accounting for environmental factors. The approach integrates a path loss model that considers variables like temperature, humidity, and air quality, alongside signal strength. This model, combined with adaptive filtering, significantly reduces ranging errors, achieving a mean absolute error of 4.74 meters in one study. AI

IMPACT Enhances indoor localization accuracy for IoT devices, potentially enabling more precise location-based services and improved network performance.

RANK_REASON The cluster contains two arXiv papers detailing new research methodologies in wireless communication. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Researchers develop environment-aware LoRaWAN path loss models for improved indoor ranging

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The cluster contains two arXiv papers detailing new research methodologies in wireless communication. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Nahshon Mokua Obiri, Kristof Van Laerhoven ·

    Environment-Aware Indoor LoRaWAN Ranging Using Path Loss Model Inversion and Adaptive RSSI Filtering

    arXiv:2505.01185v3 Announce Type: replace-cross Abstract: Achieving sub-10 m indoor ranging with LoRaWAN is challenging because multipath, human blockage, and micro-climate dynamics induce non-stationary attenuation in received signal strength indicator (RSSI) measurements. We pr…

  2. arXiv cs.LG TIER_1 English(EN) · Nahshon Mokua Obiri, Kristof Van Laerhoven ·

    Environment-Aware Indoor LoRaWAN Path Loss: Parametric Regression Comparisons, Shadow Fading, and Calibrated Fade Margins

    arXiv:2510.04346v2 Announce Type: replace-cross Abstract: Indoor long range wide area network (LoRaWAN) propagation is shaped by structural and time-varying environmental factors, which limit single-slope log-distance models and the standard log-normal shadowing assumption. We pr…

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