Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network
The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTR...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-09-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00289/ |
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| author | Meinan ZHANG Mingqi ZHANG Fei DING Hengheng ZHUANG Hairong MA |
| author_facet | Meinan ZHANG Mingqi ZHANG Fei DING Hengheng ZHUANG Hairong MA |
| author_sort | Meinan ZHANG |
| collection | DOAJ |
| description | The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTRN architecture, a large amount of signaling needs to be forwarded to the ground control center for processing, which increases the delay of network control and management.A new cloud fog computing architecture was proposed, which constructs a sub-regional edge fog computing layer between the ground access and the central cloud to improve the flexibility of business flow management and control.Under the cloud network framework, a Q-learning based edge computing offloading strategy was designed, and the offloading performance was evaluated by time delay and energy consumption.Simulation results show that, compared with Min-min algorithm and backtracking algorithm, Q-learning based computational offload algorithm has better performance in terms of time delay and energy consumption, and can achieve a balance between the joint optimization of time delay and energy consumption. |
| format | Article |
| id | doaj-art-a88c63ca2b2844e188fde9c6ae59aff0 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-a88c63ca2b2844e188fde9c6ae59aff02025-01-15T02:53:49ZzhoChina InfoCom Media Group物联网学报2096-37502022-09-01612413259651115Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay networkMeinan ZHANGMingqi ZHANGFei DINGHengheng ZHUANGHairong MAThe integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTRN architecture, a large amount of signaling needs to be forwarded to the ground control center for processing, which increases the delay of network control and management.A new cloud fog computing architecture was proposed, which constructs a sub-regional edge fog computing layer between the ground access and the central cloud to improve the flexibility of business flow management and control.Under the cloud network framework, a Q-learning based edge computing offloading strategy was designed, and the offloading performance was evaluated by time delay and energy consumption.Simulation results show that, compared with Min-min algorithm and backtracking algorithm, Q-learning based computational offload algorithm has better performance in terms of time delay and energy consumption, and can achieve a balance between the joint optimization of time delay and energy consumption.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00289/integrated satellite-terrestrial relay networkmulti-access edge computingcloud fog networkoffloading strategyQ-learning |
| spellingShingle | Meinan ZHANG Mingqi ZHANG Fei DING Hengheng ZHUANG Hairong MA Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network 物联网学报 integrated satellite-terrestrial relay network multi-access edge computing cloud fog network offloading strategy Q-learning |
| title | Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network |
| title_full | Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network |
| title_fullStr | Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network |
| title_full_unstemmed | Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network |
| title_short | Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network |
| title_sort | offloading strategy with edge optimization of time delay and energy consumption in integrated satellite terrestrial relay network |
| topic | integrated satellite-terrestrial relay network multi-access edge computing cloud fog network offloading strategy Q-learning |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00289/ |
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