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An Optimization Routing Algorithm for Green Communication in Underground Mines

With the long-term dependence of humans on ore-based energy, underground mines are utilized around the world, and underground mining is often dangerous. Therefore, many underground mines have established networks that manage and acquire information from sensor nodes deployed on miners and in other p...

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Autores principales: Xu, Heng, Li, Qiyue, Wang, Jianping, Luo, Guojun, Zhu, Chenghui, Sun, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022054/
https://www.ncbi.nlm.nih.gov/pubmed/29914125
http://dx.doi.org/10.3390/s18061950
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author Xu, Heng
Li, Qiyue
Wang, Jianping
Luo, Guojun
Zhu, Chenghui
Sun, Wei
author_facet Xu, Heng
Li, Qiyue
Wang, Jianping
Luo, Guojun
Zhu, Chenghui
Sun, Wei
author_sort Xu, Heng
collection PubMed
description With the long-term dependence of humans on ore-based energy, underground mines are utilized around the world, and underground mining is often dangerous. Therefore, many underground mines have established networks that manage and acquire information from sensor nodes deployed on miners and in other places. Since the power supplies of many mobile sensor nodes are batteries, green communication is an effective approach of reducing the energy consumption of a network and extending its longevity. To reduce the energy consumption of networks, all factors that negatively influence the lifetime should be considered. The degree constraint minimum spanning tree (DCMST) is introduced in this study to consider all the heterogeneous factors and assign weights for the next step of the evaluation. Then, a genetic algorithm (GA) is introduced to cluster sensor nodes in the network and balance energy consumption according to several heterogeneous factors and routing paths from DCMST. Based on a comparison of the simulation results, the optimization routing algorithm proposed in this study for use in green communication in underground mines can effectively reduce the network energy consumption and extend the lifetimes of networks.
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spelling pubmed-60220542018-07-02 An Optimization Routing Algorithm for Green Communication in Underground Mines Xu, Heng Li, Qiyue Wang, Jianping Luo, Guojun Zhu, Chenghui Sun, Wei Sensors (Basel) Article With the long-term dependence of humans on ore-based energy, underground mines are utilized around the world, and underground mining is often dangerous. Therefore, many underground mines have established networks that manage and acquire information from sensor nodes deployed on miners and in other places. Since the power supplies of many mobile sensor nodes are batteries, green communication is an effective approach of reducing the energy consumption of a network and extending its longevity. To reduce the energy consumption of networks, all factors that negatively influence the lifetime should be considered. The degree constraint minimum spanning tree (DCMST) is introduced in this study to consider all the heterogeneous factors and assign weights for the next step of the evaluation. Then, a genetic algorithm (GA) is introduced to cluster sensor nodes in the network and balance energy consumption according to several heterogeneous factors and routing paths from DCMST. Based on a comparison of the simulation results, the optimization routing algorithm proposed in this study for use in green communication in underground mines can effectively reduce the network energy consumption and extend the lifetimes of networks. MDPI 2018-06-15 /pmc/articles/PMC6022054/ /pubmed/29914125 http://dx.doi.org/10.3390/s18061950 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Heng
Li, Qiyue
Wang, Jianping
Luo, Guojun
Zhu, Chenghui
Sun, Wei
An Optimization Routing Algorithm for Green Communication in Underground Mines
title An Optimization Routing Algorithm for Green Communication in Underground Mines
title_full An Optimization Routing Algorithm for Green Communication in Underground Mines
title_fullStr An Optimization Routing Algorithm for Green Communication in Underground Mines
title_full_unstemmed An Optimization Routing Algorithm for Green Communication in Underground Mines
title_short An Optimization Routing Algorithm for Green Communication in Underground Mines
title_sort optimization routing algorithm for green communication in underground mines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022054/
https://www.ncbi.nlm.nih.gov/pubmed/29914125
http://dx.doi.org/10.3390/s18061950
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