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Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks

机译:无线充电传感器网络中定向充电的充电延迟最小化

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The discovery of Wireless Power Transfer (WPT) technologies makes charging more convenient and reliable. Among all the existing WPT technologies, directional WPT is more efficient and has been successfully applied to supply energy for wireless rechargeable sensor networks (WRSNs). However, the state-of-the-art methods ignore the anisotropic energy receiving property of rechargeable sensors, resulting in energy wastage. In order to address this issue, in this paper, we point out that the received energy of a sensor is not only relative to the distance, but also relative to the angle between the sensor and the charger's orientation in directional WPT. Towards this end, we derive a pragmatic energy transfer model verified by experiments. In particular, we focus on a Minimal chArging Delay (MAD) problem to reduce charging delays. To obtain the optimal solution, we formulate the problem as a linear programming problem. Moreover, we introduce a method of charging power discretization, which significantly reduces the search space and bounds the performance gap to the optimal one with a 1/1-ϵ
机译:无线电源传输(WPT)技术的发现使充电更加方便和可靠。在所有现有的WPT技术中,定向WPT效率更高,并且已成功应用于无线充电传感器网络(WRSN)的能量供应。然而,最新的方法忽略了可再充电传感器的各向异性能量接收特性,导致能量浪费。为了解决这个问题,在本文中,我们指出传感器的接收能量不仅与距离有关,而且与传感器与定向WPT中充电器方向之间的夹角有关。为此,我们得出了一个通过实验验证的实用的能量传递模型。特别是,我们专注于最小更改延迟(MAD)问题以减少充电延迟。为了获得最佳解,我们将该问题公式化为线性规划问题。此外,我们介绍了一种充电功率离散化的方法,该方法可显着减小搜索空间并将性能差距限制为具有最佳1/1 / ϵ

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