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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.


Related in: MedlinePlus

Industrial hall with various types of obstacles (test grid), l = obstacle length, w = obstacle width, h = obstacle height, and hmax⁡ = maximum obstacle height.
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Related In: Results  -  Collection


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fig1: Industrial hall with various types of obstacles (test grid), l = obstacle length, w = obstacle width, h = obstacle height, and hmax⁡ = maximum obstacle height.

Mentions: Determining optimal paths for radio communication requires the detection of sources of attenuation and areas of favourable propagation. Thus one can understand the radio waves propagation medium, where phenomena such as attenuation, interference, multi-path are very common. In this respect, the quality of radio transmissions was tested in environments with severe attenuation, such as an industrial site. Based on the measurements performed in an industrial site (whose spatial configuration is presented in Figure 1), the authors have developed radio mapping algorithms for detecting obstacles and optimum propagation pathways.


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

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

Industrial hall with various types of obstacles (test grid), l = obstacle length, w = obstacle width, h = obstacle height, and hmax⁡ = maximum obstacle height.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig1: Industrial hall with various types of obstacles (test grid), l = obstacle length, w = obstacle width, h = obstacle height, and hmax⁡ = maximum obstacle height.
Mentions: Determining optimal paths for radio communication requires the detection of sources of attenuation and areas of favourable propagation. Thus one can understand the radio waves propagation medium, where phenomena such as attenuation, interference, multi-path are very common. In this respect, the quality of radio transmissions was tested in environments with severe attenuation, such as an industrial site. Based on the measurements performed in an industrial site (whose spatial configuration is presented in Figure 1), the authors have developed radio mapping algorithms for detecting obstacles and optimum propagation pathways.

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.


Related in: MedlinePlus