Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks
Energy consumption is a significant concern in daily life, often neglected in terms of cost and environmental impact. Since IT networks play an essential role in our daily routines, energy-saving in this area is crucial. However, the implementation of energy efficiency solutions in this field have t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/23/9581 |
| _version_ | 1797399560011644928 |
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| author | Péter András Agg Zsolt Csaba Johanyák |
| author_facet | Péter András Agg Zsolt Csaba Johanyák |
| author_sort | Péter András Agg |
| collection | DOAJ |
| description | Energy consumption is a significant concern in daily life, often neglected in terms of cost and environmental impact. Since IT networks play an essential role in our daily routines, energy-saving in this area is crucial. However, the implementation of energy efficiency solutions in this field have to ensure that the network performance is minimally affected. Traditional networks encounter difficulties in achieving this goal. Software-Defined Networks (SDN), which have gained popularity in the past decade, offer easy-to-use opportunities to increase energy efficiency. Features like central controllability and quick programmability can help to reduce energy consumption. In this article, a new algorithm named the Modified Heuristic Algorithm for Energy Saving (MHAES) is presented, which was compared to eight commonly used methods in different topologies for energy efficiency. The results indicate that by maintaining an appropriate load balance, one can save more energy than in case of using some other well-known procedures by applying a threshold value based on forecast, keeping only a minimal number of nodes in an active state, and ensuring that nodes not participating in packet transmission remain in sleep mode. |
| first_indexed | 2024-03-09T01:41:58Z |
| format | Article |
| id | doaj.art-50060aa72e0b4306a2ec3f8b331508e4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T01:41:58Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-50060aa72e0b4306a2ec3f8b331508e42023-12-08T15:26:29ZengMDPI AGSensors1424-82202023-12-012323958110.3390/s23239581Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined NetworksPéter András Agg0Zsolt Csaba Johanyák1Department of Information Technologies, GAMF Faculty of Engineering and Computer Science, John von Neumann University, 6000 Kecskemét, HungaryDepartment of Information Technologies, GAMF Faculty of Engineering and Computer Science, John von Neumann University, 6000 Kecskemét, HungaryEnergy consumption is a significant concern in daily life, often neglected in terms of cost and environmental impact. Since IT networks play an essential role in our daily routines, energy-saving in this area is crucial. However, the implementation of energy efficiency solutions in this field have to ensure that the network performance is minimally affected. Traditional networks encounter difficulties in achieving this goal. Software-Defined Networks (SDN), which have gained popularity in the past decade, offer easy-to-use opportunities to increase energy efficiency. Features like central controllability and quick programmability can help to reduce energy consumption. In this article, a new algorithm named the Modified Heuristic Algorithm for Energy Saving (MHAES) is presented, which was compared to eight commonly used methods in different topologies for energy efficiency. The results indicate that by maintaining an appropriate load balance, one can save more energy than in case of using some other well-known procedures by applying a threshold value based on forecast, keeping only a minimal number of nodes in an active state, and ensuring that nodes not participating in packet transmission remain in sleep mode.https://www.mdpi.com/1424-8220/23/23/9581SDNSDN networksenergy savingcompression TCAMend host-awaretraffic-aware |
| spellingShingle | Péter András Agg Zsolt Csaba Johanyák Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks Sensors SDN SDN networks energy saving compression TCAM end host-aware traffic-aware |
| title | Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks |
| title_full | Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks |
| title_fullStr | Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks |
| title_full_unstemmed | Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks |
| title_short | Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks |
| title_sort | saving energy using the modified heuristic algorithm for energy saving mhaes in software defined networks |
| topic | SDN SDN networks energy saving compression TCAM end host-aware traffic-aware |
| url | https://www.mdpi.com/1424-8220/23/23/9581 |
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