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...

Full description

Saved in:
Bibliographic Details
Published in:International journal on interactive design and manufacturing 2024-10, Vol.18 (8), p.6013-6021
Main Authors: Sivasankar, S., Devasenapathy, Deepa, Madhumathy, P, Kaur, Gursimran, Sharma, Yogita, Rana, Prince
Format: Article
Language:English
Subjects:
Algorithms
CAE) and Design
Communication
Computer-Aided Engineering (CAD
Connectivity
Cost analysis
Efficiency
Electronics and Microelectronics
Engineering
Engineering Design
Graph representations
Graph theory
Graphical representations
Graphs
Industrial Design
Instrumentation
Manufacturing
Mathematicians
Mechanical Engineering
Nodes
Original Paper
Sensors
Wireless sensor networks
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1955-2513
1955-2505
DOI:10.1007/s12008-023-01468-5