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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) Real grid (real[i][j]) with areas affected by attenuation (marked with 1) and favorable paths (marked with 0) (b) dividing obstacles in machine tools and large obstacles (dark gray) and smaller obstacles (gray).
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fig3: (a) Real grid (real[i][j]) with areas affected by attenuation (marked with 1) and favorable paths (marked with 0) (b) dividing obstacles in machine tools and large obstacles (dark gray) and smaller obstacles (gray).

Mentions: The results from the table are compared to a real grid, as approximated in Figure 3(a), in which the central points have been marked with the corresponding values depending on the position of the receiver to the emitter (1-attenuation area). An attenuation area, marked with 1, is defined by the case in which there is one obstacle or more in that area and there is no direct LoS (up to five meters) between two nearby transmitters or at least one large obstacle (a machine tool) is in that area.


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

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

(a) Real grid (real[i][j]) with areas affected by attenuation (marked with 1) and favorable paths (marked with 0) (b) dividing obstacles in machine tools and large obstacles (dark gray) and smaller obstacles (gray).
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig3: (a) Real grid (real[i][j]) with areas affected by attenuation (marked with 1) and favorable paths (marked with 0) (b) dividing obstacles in machine tools and large obstacles (dark gray) and smaller obstacles (gray).
Mentions: The results from the table are compared to a real grid, as approximated in Figure 3(a), in which the central points have been marked with the corresponding values depending on the position of the receiver to the emitter (1-attenuation area). An attenuation area, marked with 1, is defined by the case in which there is one obstacle or more in that area and there is no direct LoS (up to five meters) between two nearby transmitters or at least one large obstacle (a machine tool) is in that area.

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.