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

Nedelcu AV, Machedon-Pisu M, Duguleana M, Talaba D - ScientificWorldJournal (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronics and Computers, Transilvania University of Brasov, 500036 Brasov, Romania.

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.

No MeSH data available.


A 3D representation of the detected propagation pathways, color-coded green, and detected obstacles, color-coded red.
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fig9: A 3D representation of the detected propagation pathways, color-coded green, and detected obstacles, color-coded red.

Mentions: The third type of radio map, “Propagation Pathway Map,” is similar to “Obstacle Map,” but instead of detecting and representing obstacles, it represents the pathway upon which the signal can travel with the least perturbation possible. It identifies the pathways where the transmission should be made, color-coded green, and the locations where transmitters and receivers should be placed for optimum coverage of the industrial facility. For 3D representations obstacles get a high Y-axis value, and the absence of obstacles is marked with a Y-axis value. The representation of this information superimposed over the actual obstacles from inside the indoor profile is represented in Figure 9. Also here one can observe the Interaction Menu's representation of how the user can access the Propagation Pathway Map.


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

Nedelcu AV, Machedon-Pisu M, Duguleana M, Talaba D - ScientificWorldJournal (2015)

A 3D representation of the detected propagation pathways, color-coded green, and detected obstacles, color-coded red.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4489011&req=5

fig9: A 3D representation of the detected propagation pathways, color-coded green, and detected obstacles, color-coded red.
Mentions: The third type of radio map, “Propagation Pathway Map,” is similar to “Obstacle Map,” but instead of detecting and representing obstacles, it represents the pathway upon which the signal can travel with the least perturbation possible. It identifies the pathways where the transmission should be made, color-coded green, and the locations where transmitters and receivers should be placed for optimum coverage of the industrial facility. For 3D representations obstacles get a high Y-axis value, and the absence of obstacles is marked with a Y-axis value. The representation of this information superimposed over the actual obstacles from inside the indoor profile is represented in Figure 9. Also here one can observe the Interaction Menu's representation of how the user can access the Propagation Pathway Map.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronics and Computers, Transilvania University of Brasov, 500036 Brasov, Romania.

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.

No MeSH data available.