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Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks

机译:最大限度地减少无线可充电传感器网络中定向充电的充电延迟

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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-?2 approximation ratio. Besides, a merging method is introduced for a more practical application scenario. Finally, we demonstrate that our methods outperform the Set Cover baseline method by an average of 34.2% through simulations and experiments.
机译:发现无线电力传输(WPT)技术使充电更方便可靠。在所有现有的WPT技术中,定向WPT更有效,已成功应用于无线可充电传感器网络(WRSN)的能源。然而,最先进的方法忽略了可充电传感器的各向异性能量接收性能,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相对于距离,而且相对于传感器之间的角度和定向WPT的定向。在此目的,我们推导出通过实验验证的语用能量转移模型。特别是,我们专注于减少充电延迟的最小充电延迟(Mad)问题。为了获得最佳解决方案,我们将问题作为线性编程问题。此外,我们介绍了一种充电功率离散化的方法,这显着减少了搜索空间,并将性能差距与1/1英寸的最佳方式绑定到最佳隙中。 2 近似比。此外,引入了一种更实用的应用方案的合并方法。最后,我们证明了我们的方法越高,通过模拟和实验平均平均为34.2%。

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