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Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing?
There are all sort of indications that Internet usage will go only upwards, resulting in an increase in energy consumption and CO(2) emissions. At the same time, a significant amount of this carbon footprint corresponds to the information and communication technologies (ICT) sector, with around one...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651093/ https://www.ncbi.nlm.nih.gov/pubmed/31262056 http://dx.doi.org/10.3390/s19132901 |
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author | Hossain, Md. Mohaimenul Georges, Jean-Philippe Rondeau, Eric Divoux, Thierry |
author_facet | Hossain, Md. Mohaimenul Georges, Jean-Philippe Rondeau, Eric Divoux, Thierry |
author_sort | Hossain, Md. Mohaimenul |
collection | PubMed |
description | There are all sort of indications that Internet usage will go only upwards, resulting in an increase in energy consumption and CO(2) emissions. At the same time, a significant amount of this carbon footprint corresponds to the information and communication technologies (ICT) sector, with around one third being due to networking. In this paper we have approached the problem of green networking from the point of view of sustainability. Here, alongside energy-aware routing, we have also introduced pollution-aware routing with environmental metrics like carbon emission factor and non-renewable energy usage percentage. We have proposed an algorithm based on these three candidate-metrics. Our algorithm provides optimum data and control planes for three different metrics which regulate the usage of different routers and adapt the bandwidth of the links while giving the traffic demand requirements utmost priority. We have made a comparison between these three metrics in order to show their impact on greening routing. The results show that for a particular scenario, our pollution-aware routing algorithm can reduce 36% and 20% of CO(2) emissions compared to shortest path first and energy-based solutions, respectively. |
format | Online Article Text |
id | pubmed-6651093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66510932019-08-07 Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing? Hossain, Md. Mohaimenul Georges, Jean-Philippe Rondeau, Eric Divoux, Thierry Sensors (Basel) Article There are all sort of indications that Internet usage will go only upwards, resulting in an increase in energy consumption and CO(2) emissions. At the same time, a significant amount of this carbon footprint corresponds to the information and communication technologies (ICT) sector, with around one third being due to networking. In this paper we have approached the problem of green networking from the point of view of sustainability. Here, alongside energy-aware routing, we have also introduced pollution-aware routing with environmental metrics like carbon emission factor and non-renewable energy usage percentage. We have proposed an algorithm based on these three candidate-metrics. Our algorithm provides optimum data and control planes for three different metrics which regulate the usage of different routers and adapt the bandwidth of the links while giving the traffic demand requirements utmost priority. We have made a comparison between these three metrics in order to show their impact on greening routing. The results show that for a particular scenario, our pollution-aware routing algorithm can reduce 36% and 20% of CO(2) emissions compared to shortest path first and energy-based solutions, respectively. MDPI 2019-06-30 /pmc/articles/PMC6651093/ /pubmed/31262056 http://dx.doi.org/10.3390/s19132901 Text en © 2019 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 Hossain, Md. Mohaimenul Georges, Jean-Philippe Rondeau, Eric Divoux, Thierry Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing? |
title | Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing? |
title_full | Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing? |
title_fullStr | Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing? |
title_full_unstemmed | Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing? |
title_short | Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing? |
title_sort | energy, carbon and renewable energy: candidate metrics for green-aware routing? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651093/ https://www.ncbi.nlm.nih.gov/pubmed/31262056 http://dx.doi.org/10.3390/s19132901 |
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