# Pervasive Radio Mapping of Industrial Environments Using a Virtual Reality Approach

**Authors:** Adrian-Valentin Nedelcu, Mihai Machedon-Pisu, Mihai Duguleana, Doru Talaba

PMC · DOI: 10.1155/2015/701848 · The Scientific World Journal · 2015-06-18

## TL;DR

This paper introduces a system for mapping radio signals in industrial environments using low-cost sensors and virtual reality to optimize wireless network planning.

## Contribution

The novel contribution is a human-network interaction paradigm using 3D virtual environments for intuitive radio map visualization.

## Key findings

- Low-cost wireless sensor nodes effectively capture radio spectrum data for mapping.
- 3D virtual environments enhance the perception and interpretation of radio propagation profiles.
- The system identifies obstacles and optimal propagation pathways in industrial settings.

## Abstract

Wireless communications in industrial environments are seriously affected by reliability and performance issues, due to the multipath nature of obstacles within such environments. Special attention needs to be given to planning a wireless industrial network, so as to find the optimum spatial position for each of the nodes within the network, and especially for key nodes such as gateways or cluster heads. The aim of this paper is to present a pervasive radio mapping system which captures (senses) data regarding the radio spectrum, using low-cost wireless sensor nodes. This data is the input of radio mapping algorithms that generate electromagnetic propagation profiles. Such profiles are used for identifying obstacles within the environment and optimum propagation pathways. With the purpose of further optimizing the radio planning process, the authors propose a novel human-network interaction (HNI) paradigm that uses 3D virtual environments in order to display the radio maps in a natural, easy-to-perceive manner. The results of this approach illustrate its added value to the field of radio resource planning of industrial communication systems.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC4489011/full.md

## Figures

17 figures with captions in the complete paper: https://tomesphere.com/paper/PMC4489011/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC4489011/full.md

---
Source: https://tomesphere.com/paper/PMC4489011