Design and modeling of graph theory approach based routing algorithm

By concentrating on a product’s subsequent states as it moves through several phases, the product state idea gives a fresh viewpoint on manufacturing programmes. A theoretical example uses graph theory, a method with associated requirements for data organization to make use of the benefits of this n...

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Published in:International journal on interactive design and manufacturing Vol. 18; no. 8; pp. 6013 - 6021
Main Authors: Sivasankar, S., Devasenapathy, Deepa, Madhumathy, P, Kaur, Gursimran, Sharma, Yogita, Rana, Prince
Format: Journal Article
Language:English
Published: Paris Springer Paris 01.10.2024
Springer Nature B.V
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ISSN:1955-2513, 1955-2505
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Abstract By concentrating on a product’s subsequent states as it moves through several phases, the product state idea gives a fresh viewpoint on manufacturing programmes. A theoretical example uses graph theory, a method with associated requirements for data organization to make use of the benefits of this notion offers. In a wireless sensor network, path selection for data routing with higher level of connectivity is of greater importance. A network’s structural representation is uniform in regular graphs. Regular graphs are a type of graph that is highly structured and provides complete network protection. Adjacent matrices are the most convenient way to represent a network’s connectivity. Here an algorithm for regularizing the nodes in a network using adjacency matrices is proposed. The proposed model is simulated using MATLAB to find out the centrality measure in terms of building connectivity between the sensor nodes with in the network.
AbstractList By concentrating on a product’s subsequent states as it moves through several phases, the product state idea gives a fresh viewpoint on manufacturing programmes. A theoretical example uses graph theory, a method with associated requirements for data organization to make use of the benefits of this notion offers. In a wireless sensor network, path selection for data routing with higher level of connectivity is of greater importance. A network’s structural representation is uniform in regular graphs. Regular graphs are a type of graph that is highly structured and provides complete network protection. Adjacent matrices are the most convenient way to represent a network’s connectivity. Here an algorithm for regularizing the nodes in a network using adjacency matrices is proposed. The proposed model is simulated using MATLAB to find out the centrality measure in terms of building connectivity between the sensor nodes with in the network.
Author Madhumathy, P
Kaur, Gursimran
Sivasankar, S.
Rana, Prince
Devasenapathy, Deepa
Sharma, Yogita
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  surname: Sivasankar
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  surname: Devasenapathy
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  surname: Madhumathy
  fullname: Madhumathy, P
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  organization: Mittal School of Business, Lovely Professional University
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  givenname: Prince
  surname: Rana
  fullname: Rana, Prince
  organization: Mittal School of Business, Lovely Professional University
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Keywords Centrality measure
Wireless sensor network
Manufacturing
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Snippet By concentrating on a product’s subsequent states as it moves through several phases, the product state idea gives a fresh viewpoint on manufacturing...
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Title Design and modeling of graph theory approach based routing algorithm
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Volume 18
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