Magnetic Blind Beamforming for Battery-Free Wireless Sensor Networks

Magnetic Blind Beamforming for Battery-Free Wireless Sensor Networks
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DOI:
10.1109/tgcn.2022.3154923
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发表时间:
2022-09
影响因子:
4.8
通讯作者:
Albert Aninagyei Ofori;Hongzhi Guo
Albert Aninagyei Ofori;Hongzhi Guo
中科院分区:
计算机科学3区
文献类型:
--
作者:
Albert Aninagyei Ofori;Hongzhi Guo

文献摘要

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在不可接近的介质中(例如地下和体内)维护大量的无线传感器是具有挑战性的。微型无电池传感器是理想的,因为它们对环境的影响可以忽略不计,并且不需要更换电池。无电池传感器可以从无线信号中获取能量,以支持其正常运行。然而,由于在初始阶段缺乏能量,它们无法与充电器配合。本文提出了磁盲波束形成(MagBB)使用三轴线圈供电的无电池无线传感器。具有随机取向线圈的无电池传感器可能会经历显著的未对准损失,并且它们可能不会从充电器接收任何能量。MagBB使用一组优化的电流矢量来产生旋转磁场,这可以确保具有任意方向的线圈可以接收足够的电压进行充电。它不需要关于无电池传感器的线圈方向或位置的任何信息。开发了一个概念验证原型。仿真和实验结果表明,MagBB能有效提高无线充电的可靠性。在操作范围内具有任意取向和位置的传感器线圈可以收获足够的能量。这项技术有可能为超密集无线传感器提供低通信开销的动力。
It is challenging to maintain a large number of wireless sensors in inaccessible media, such as underground and intra-body. Tiny battery-free sensors are desirable since they create negligible impacts on the environment and do not require battery replacement. Battery-free sensors can harvest energy from wireless signals to support their normal operation. However, they cannot cooperate with the charger due to the lack of energy in the initial stages. This paper proposes the Magnetic Blind Beamforming (MagBB) using tri-axis coils to power up battery-free wireless sensors. Battery-free sensors with randomly orientated coils may experience significant misalignment losses and they may not receive any energy from the charger. MagBB uses a set of optimized current vectors to generate rotating magnetic fields which can ensure that coils with arbitrary orientations can receive sufficient voltages for charging. It does not require any information about the battery-free sensor’s coil orientation or location. A proof-of-concept prototype is developed. The numerical simulations and experimental results show that MagBB can efficiently improve the reliability of wireless charging. Sensor coils with arbitrary orientation and location within the operation range can harvest sufficient energy. This technology has the potential of powering ultra-dense wireless sensors with low communication overhead.