低地球轨道卫星网络的绿色计算业务聚合战略
Bo Wang1, Jiaqi Lv1, Dongyan Huang1
1School of Information and Communication, Guilin University of Electronic Technology, 1 Xiamen Road, Guilin 541004, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究介绍了低地球轨道卫星网络的绿色计算策略,平衡能源效率和延迟. 该方法在各种交通负载中显著降低了能源消耗,同时对网络性能产生最小的影响.
科学领域:
- 计算机科学 计算机科学
- 航空航天工程 航空航天工程
- 网络工程 网络工程
背景情况:
- 低地球轨道 (LEO) 卫星网络 (LSNs) 面临着动态的,能源受限制的环境.
- 优化能源效率和尽量减少延迟对于可持续的LSN运营至关重要.
研究的目的:
- 为LSNs提出一个新的绿色计算策略.
- 在动态的LSN环境中有效平衡节能和延迟成本.
主要方法:
- 马尔科夫决策过程 (MDP) 与双深Q网络 (双DQN) 的集成.
- 引入能量延迟比 (EDR) 度量用于量化和平衡性能.
主要成果:
- 观察到显著的节能:高达47.87% (低容量),26.75% (中等容量) 和4.36% (高容量).
- 最小延迟增加:0.0161秒 (低),0.0189秒 (中等) 和0.0299秒 (高) 跨越业务量.
- 证明了适应不同交通负载的适应能力.
结论:
- 拟议的战略有效地平衡了能源效率和LSN的延迟.
- 该方法适用于在动态的LEO卫星网络条件下可持续运营.
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