Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks

In this paper, we explore the connection between sensor networks and graph theory. Sensor networks represent distributed systems of interconnected devices that collect and transmit data, while graph theory provides a robust framework for modeling and analyzing complex networks. Specifically, we focu...

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Main Authors: Manuel Ceballos, María Millán
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/1/55
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author Manuel Ceballos
María Millán
author_facet Manuel Ceballos
María Millán
author_sort Manuel Ceballos
collection DOAJ
description In this paper, we explore the connection between sensor networks and graph theory. Sensor networks represent distributed systems of interconnected devices that collect and transmit data, while graph theory provides a robust framework for modeling and analyzing complex networks. Specifically, we focus on vertex coloring, Eulerian paths, and Hamiltonian paths within the Delaunay graph associated with a sensor network. These concepts have critical applications in sensor networks, including connectivity analysis, efficient data collection, route optimization, task scheduling, and resource management. We derive theoretical results related to the chromatic number and the existence of Eulerian and Hamiltonian trails in the graph linked to the sensor network. Additionally, we complement this theoretical study with the implementation of several algorithmic procedures. A case study involving the monitoring of a sugarcane field, coupled with a computational analysis, demonstrates the performance and practical applicability of these algorithms in real-world scenarios.
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spelling doaj-art-8e3aeaebbe9e48d5ac5edaf57e9005aa2025-01-10T13:18:06ZengMDPI AGMathematics2227-73902024-12-011315510.3390/math13010055Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor NetworksManuel Ceballos0María Millán1Departamento de Ingeniería, Universidad Loyola Andalucía, Av. de las Universidades, s/n, 41704 Dos Hermanas, Sevilla, SpainDepartamento de Ingeniería, Universidad Loyola Andalucía, Av. de las Universidades, s/n, 41704 Dos Hermanas, Sevilla, SpainIn this paper, we explore the connection between sensor networks and graph theory. Sensor networks represent distributed systems of interconnected devices that collect and transmit data, while graph theory provides a robust framework for modeling and analyzing complex networks. Specifically, we focus on vertex coloring, Eulerian paths, and Hamiltonian paths within the Delaunay graph associated with a sensor network. These concepts have critical applications in sensor networks, including connectivity analysis, efficient data collection, route optimization, task scheduling, and resource management. We derive theoretical results related to the chromatic number and the existence of Eulerian and Hamiltonian trails in the graph linked to the sensor network. Additionally, we complement this theoretical study with the implementation of several algorithmic procedures. A case study involving the monitoring of a sugarcane field, coupled with a computational analysis, demonstrates the performance and practical applicability of these algorithms in real-world scenarios.https://www.mdpi.com/2227-7390/13/1/55algorithmsdelaunay graphsensor networkvoronoi diagramweighted graph
spellingShingle Manuel Ceballos
María Millán
Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks
Mathematics
algorithms
delaunay graph
sensor network
voronoi diagram
weighted graph
title Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks
title_full Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks
title_fullStr Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks
title_full_unstemmed Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks
title_short Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks
title_sort vertex coloring and eulerian and hamiltonian paths of delaunay graphs associated with sensor networks
topic algorithms
delaunay graph
sensor network
voronoi diagram
weighted graph
url https://www.mdpi.com/2227-7390/13/1/55
work_keys_str_mv AT manuelceballos vertexcoloringandeulerianandhamiltonianpathsofdelaunaygraphsassociatedwithsensornetworks
AT mariamillan vertexcoloringandeulerianandhamiltonianpathsofdelaunaygraphsassociatedwithsensornetworks