天津大学电子信息工程学院,天津,300072
网络首发:2017-01-10,
纸质出版:2017
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李鑫, 刘强. 用于环境嵌入式系统的多时段动态功耗管理方法[J]. 西安交通大学学报, 2017,51(1):147-152.
Multi-Time-Segment Dynamic Power Management for Environmentally Embedded Systems[J]. 2017, 51(1): 147-152.
李鑫, 刘强. 用于环境嵌入式系统的多时段动态功耗管理方法[J]. 西安交通大学学报, 2017,51(1):147-152. DOI: 10.7652/xjtuxb201701023.
Multi-Time-Segment Dynamic Power Management for Environmentally Embedded Systems[J]. 2017, 51(1): 147-152. DOI: 10.7652/xjtuxb201701023.
针对现有以无线传感器网络为代表的环境嵌入式系统的功耗管理方法不能很好地兼顾系统性能和稳定持久工作的问题
提出了一种能量驱动的多时段动态功耗管理方法。该方法综合考虑系统当前及未来N个时段的可用能量
并引入能量预测最大误差指数
实时地决定系统下一时段的工作状态
在满足能量约束的前提下最大化系统性能。通过实验模拟了太阳能供电环境嵌入式系统在不同天气下的工作情况
结果表明:使用该动态功耗管理方法的环境嵌入式系统的采集能量利用率达到99.79%
并且在不同天气下均能持续工作
即该方法实现了系统性能和工作稳定性的同时优化。
Aiming at the existing methods for managing power of the environmentally embedded systems represented by wireless sensor network
which cannot simultaneously ensure the system performance and stability
this paper proposes a multi-time-segment dynamic power management method. This method could determine the operational mode of the systems in real time by considering the energy available in the current and the future N time-segments and the effect of energy prediction error
resulting in maximized system performance within the energy constraint. Experiment simulates a solar energy powered environmentally embedded system working under different weathers
and the results demonstrate that the system using the proposed method can make its energy utilization reach 99.79%
and work continuously under diverse weathers. Hence the proposed method achieves simultaneous optimization of the system's performance and stability.
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