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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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 |
work_keys_str_mv |
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