True Rays Model Integration in OMNeT++ for IIoT Network Planning in Underground Mines

This work develops a new module in the OMNeT++ simulator incorporating and validating the True Rays propagation model for underground environments. The integration enables the planning and evaluation of Industrial Internet of Things deployments of wireless sensor networks (WSNs) in mining scenarios. The tool can read the mine blueprints and deploy nodes at specified locations. It also defined the environment and network communication parameters for network coverage and performance analysis, allowing an understanding of how the WSN behaves in the underground mine before its deployment. The simulation predicts variables such as received power and path losses, optimizing sensing coverage and connectivity while reducing the need for site surveys. A large number of simulations using blueprints from real mines show that the signal propagation measurements are consistent with the theoretical models proposed in the state of the art. Experimental results were compared with a simulation WSN using LoRa, the maximum range obtained in simulation was 47 m, the measurements under real conditions in the underground only achieved 25 m of reach, but were limited at a threshold of -100 dBm to ensure connectivity and reliability of transmission among the nodes. As a result, the simulations and measurements performed better at the 433 MHz frequency, and the main contribution is a simulation tool simplifying planning IIoT networks in mining tunnels.

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Published
2024-12-01
DOI
https://doi.org/10.1109/lacap63752.2024.10876249
Primary Topic
Advanced Image Fusion Techniques
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article
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article

True Rays Model Integration in OMNeT++ for IIoT Network Planning in Underground Mines

Sandra Céspedes, Eduardo Avendaño Fernández, Óscar Javier Montañez-Sogamoso, Cristian Suancha et al.
Advanced Image Fusion Techniques
article

True Rays Model Integration in OMNeT++ for IIoT Network Planning in Underground Mines

Sandra Céspedes, Eduardo Avendaño Fernández, Óscar Javier Montañez-Sogamoso, Cristian Suancha, Fabian Medina
article en

Abstract

This work develops a new module in the OMNeT++ simulator incorporating and validating the True Rays propagation model for underground environments. The integration enables the planning and evaluation of Industrial Internet of Things deployments of wireless sensor networks (WSNs) in mining scenarios. The tool can read the mine blueprints and deploy nodes at specified locations. It also defined the environment and network communication parameters for network coverage and performance analysis, allowing an understanding of how the WSN behaves in the underground mine before its deployment. The simulation predicts variables such as received power and path losses, optimizing sensing coverage and connectivity while reducing the need for site surveys. A large number of simulations using blueprints from real mines show that the signal propagation measurements are consistent with the theoretical models proposed in the state of the art. Experimental results were compared with a simulation WSN using LoRa, the maximum range obtained in simulation was 47 m, the measurements under real conditions in the underground only achieved 25 m of reach, but were limited at a threshold of -100 dBm to ensure connectivity and reliability of transmission among the nodes. As a result, the simulations and measurements performed better at the 433 MHz frequency, and the main contribution is a simulation tool simplifying planning IIoT networks in mining tunnels.

Pedagogical and Technological University of Colombia (CO), Concordia University (CA)
Openalex Percentile: Top 60%
Advanced Image Fusion Techniques
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True Rays Model Integration in OMNeT++ for IIoT Network Planning in Underground Mines — Sandra Céspedes, Eduardo Avendaño Fernández, et al. · (2024) | TGRS Research Map | TGRS