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首页> 外文期刊>Internet of Things Journal, IEEE >Energy Utilization-Aware Operation Control Algorithm in Energy Harvesting Base Stations
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Energy Utilization-Aware Operation Control Algorithm in Energy Harvesting Base Stations

机译:能量利用感知操作控制算法在能量收集基站

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Radio frequency (RF) energy transfer has received high attention as a promising technology for wireless sensor networks (WSNs) due to its flexibility of energy supply. However, unplanned RF energy transmissions may lead to increased energy consumption in the main grid. To address this problem, we first develop the energy queuing models for base station (BS) and sensor node (SN). Based on them, we propose an energy utilization-aware operation control algorithm (EU-OCA) to minimize the energy outage probabilities of SNs while maintaining the energy consumption of the main grid below a certain level. In EU-OCA, a controller determines jointly the active/sleep modes and the transmission powers of renewable energy-based BSs with the consideration of the statistical information on the energy arrival of BSs and the energy consumption of SNs. Evaluation results demonstrate that EU-OCA can achieve longer lifetime compared to other BS operation control algorithms while maintaining the energy consumption of the main grid below a target level.
机译:由于其能量供应的灵活性,射频(RF)能量传输作为无线传感器网络(WSNS)的有希望的技术。然而,没有计划的RF能量传输可能导致主电网的能量消耗增加。为了解决这个问题,我们首先开发基站(BS)和传感器节点(SN)的能量排队模型。基于它们,我们提出了一种能量利用感知操作控制算法(EU-OCA),以最大限度地减少SNS的能量中断概率,同时保持主电网的能量消耗低于一定水平。在EU-OCA中,控制器通过考虑关于BSS能量到达的统计信息和SNS的能量消耗,共同确定主动/睡眠模式和基于可再生能源的BS的传输权力。评估结果表明,与其他BS操作控制算法相比,EU-OCA可以实现更长的寿命,同时保持主电网低于目标水平的主电网的能量消耗。

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