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<sub>2</sub> emissions. At the same time, a significant amount of this carbon footprint corresponds to the information and communication technologies (ICT) sec...

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Main Authors: Md. Mohaimenul Hossain, Jean-Philippe Georges, Eric Rondeau, Thierry Divoux
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/13/2901
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spelling doaj-f8c51dc3e4e74965b36d1b9cf46f22122020-11-25T00:11:29ZengMDPI AGSensors1424-82202019-06-011913290110.3390/s19132901s19132901Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing?Md. Mohaimenul Hossain0Jean-Philippe Georges1Eric Rondeau2Thierry Divoux3Université de Lorraine, CRAN, UMR 7039, Campus Sciences, BP 70239, Vandoeuvre-lès-Nancy CEDEX 54506, FranceUniversité de Lorraine, CRAN, UMR 7039, Campus Sciences, BP 70239, Vandoeuvre-lès-Nancy CEDEX 54506, FranceUniversité de Lorraine, CRAN, UMR 7039, Campus Sciences, BP 70239, Vandoeuvre-lès-Nancy CEDEX 54506, FranceUniversité de Lorraine, CRAN, UMR 7039, Campus Sciences, BP 70239, Vandoeuvre-lès-Nancy CEDEX 54506, FranceThere are all sort of indications that Internet usage will go only upwards, resulting in an increase in energy consumption and CO<sub>2</sub> 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<sub>2</sub> emissions compared to shortest path first and energy-based solutions, respectively.https://www.mdpi.com/1424-8220/19/13/2901green networkingenergy aware routingcarbon footprintadaptive link ratecontrol and data plane
collection DOAJ
language English
format Article
sources DOAJ
author Md. Mohaimenul Hossain
Jean-Philippe Georges
Eric Rondeau
Thierry Divoux
spellingShingle Md. Mohaimenul Hossain
Jean-Philippe Georges
Eric Rondeau
Thierry Divoux
Energy, Carbon and Renewable Energy: Candidate Metrics for Green-Aware Routing?
Sensors
green networking
energy aware routing
carbon footprint
adaptive link rate
control and data plane
author_facet Md. Mohaimenul Hossain
Jean-Philippe Georges
Eric Rondeau
Thierry Divoux
author_sort Md. Mohaimenul Hossain
title 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_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_sort energy, carbon and renewable energy: candidate metrics for green-aware routing?
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-06-01
description There are all sort of indications that Internet usage will go only upwards, resulting in an increase in energy consumption and CO<sub>2</sub> 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<sub>2</sub> emissions compared to shortest path first and energy-based solutions, respectively.
topic green networking
energy aware routing
carbon footprint
adaptive link rate
control and data plane
url https://www.mdpi.com/1424-8220/19/13/2901
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