Optimal transmission for energy harvesting nodes under battery size and usage constraints
Optimal transmission for energy harvesting nodes under battery size and usage constraints
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DOI：
10.1109/isit.2017.8006642
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
Jing Yang;Jingxian Wu
中科院分区：
文献类型：
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作者：
Jing Yang;Jingxian Wu
本文在考虑电池退化和有限电池约束的情况下，研究了能量收集发射机的最优能量管理策略。我们考虑了一个场景，传感器能够从周围环境中收集能量，并利用它来为其传输提供动力。收集的能量可以立即用于传输，而不进入配备的电池，或者充电到电池中，稍后放电进行传输。当电池充电或放电时，将产生成本，以说明其对电池退化的影响。我们对电池施加了长期平均成本约束，这被转化为单位时间内充电/放电操作的平均次数。同时，我们假设电池的容量是有限的，电池存储的总能量不能超过它的容量。我们的目标是开发一种在线能源管理策略，以最大限度地提高发射机在电池使用限制和有限电池约束下的长期平均吞吐量。我们提出了一种能量感知的自适应传输策略，它是无限电池情况下最优策略的改进版本。我们的分析表明，当电池尺寸足够大时，能量感知自适应传输策略是渐近最优的。仿真结果证实了理论分析的正确性。
In this paper, we study the optimal energy management policy of an energy harvesting transmitter by taking both battery degradation and finite battery constraints into consideration. We consider a scenario where the sensor is able to harvest energy from the ambient environment and use it to power its transmission. The harvested energy can be used for transmission immediately without entering the equipped battery, or charged into the battery and discharged later for transmission. When the battery is charged or discharged, a cost will be incurred to account for its impact on battery degradation. We impose a long-term average cost constraint on the battery, which is translated to the average number of charge/discharge operations per unit time. At the same time, we assume the capacity of the battery is finite, and the total amount of energy stored in the battery cannot exceed its capacity. Our objective is to develop an online energy management policy to maximize the long-term average throughput of the transmitter under both the battery usage constraint and finite battery constraint. We propose an energy-aware adaptive transmission policy, which is a modified version of the optimal policy for the infinite battery case. Our analysis indicates that the energy-aware adaptive transmission policy is asymptotically optimal when the battery size is sufficiently large. Simulation results corroborate the theoretical analysis.