A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks
This paper proposes a green computing strategy for low Earth orbit (LEO) satellite networks (LSNs), addressing energy efficiency and delay optimization in dynamic and energy-constrained environments. By integrating a Markov Decision Process (MDP) with a Double Deep Q-Network (Double DQN) and introdu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/24/8184 |
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| author | Bo Wang Jiaqi Lv Dongyan Huang Zelin Lu Yuhang Fang |
| author_facet | Bo Wang Jiaqi Lv Dongyan Huang Zelin Lu Yuhang Fang |
| author_sort | Bo Wang |
| collection | DOAJ |
| description | This paper proposes a green computing strategy for low Earth orbit (LEO) satellite networks (LSNs), addressing energy efficiency and delay optimization in dynamic and energy-constrained environments. By integrating a Markov Decision Process (MDP) with a Double Deep Q-Network (Double DQN) and introducing the Energy–Delay Ratio (EDR) metric, this study effectively quantifies and balances energy savings with delay costs. Simulations demonstrate significant energy savings, with reductions of up to 47.87% under low business volumes, accompanied by a minimal delay increase of only 0.0161 s. For medium business volumes, energy savings reach 26.75%, with a delay increase of 0.0189 s, while high business volumes achieve a 4.36% energy reduction and a delay increase of 0.0299 s. These results highlight the proposed strategy’s ability to effectively balance energy efficiency and delay, showcasing its adaptability and suitability for sustainable operations in LEO satellite networks under varying traffic loads. |
| format | Article |
| id | doaj-art-154c1d5f20604b3fa40555589771eede |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-154c1d5f20604b3fa40555589771eede2025-08-20T02:43:50ZengMDPI AGSensors1424-82202024-12-012424818410.3390/s24248184A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite NetworksBo Wang0Jiaqi Lv1Dongyan Huang2Zelin Lu3Yuhang Fang4School of Information and Communication, Guilin University of Electronic Technology, 1 Xiamen Road, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, 1 Xiamen Road, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, 1 Xiamen Road, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, 1 Xiamen Road, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, 1 Xiamen Road, Guilin 541004, ChinaThis paper proposes a green computing strategy for low Earth orbit (LEO) satellite networks (LSNs), addressing energy efficiency and delay optimization in dynamic and energy-constrained environments. By integrating a Markov Decision Process (MDP) with a Double Deep Q-Network (Double DQN) and introducing the Energy–Delay Ratio (EDR) metric, this study effectively quantifies and balances energy savings with delay costs. Simulations demonstrate significant energy savings, with reductions of up to 47.87% under low business volumes, accompanied by a minimal delay increase of only 0.0161 s. For medium business volumes, energy savings reach 26.75%, with a delay increase of 0.0189 s, while high business volumes achieve a 4.36% energy reduction and a delay increase of 0.0299 s. These results highlight the proposed strategy’s ability to effectively balance energy efficiency and delay, showcasing its adaptability and suitability for sustainable operations in LEO satellite networks under varying traffic loads.https://www.mdpi.com/1424-8220/24/24/8184LSNsbusiness aggregationdouble DQNenergy efficiencygreen computing |
| spellingShingle | Bo Wang Jiaqi Lv Dongyan Huang Zelin Lu Yuhang Fang A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks Sensors LSNs business aggregation double DQN energy efficiency green computing |
| title | A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks |
| title_full | A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks |
| title_fullStr | A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks |
| title_full_unstemmed | A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks |
| title_short | A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks |
| title_sort | green computing business aggregation strategy for low earth orbit satellite networks |
| topic | LSNs business aggregation double DQN energy efficiency green computing |
| url | https://www.mdpi.com/1424-8220/24/24/8184 |
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