Distributed Beamforming for Magnetic Induction Based Body Area Sensor Networks
Distributed Beamforming for Magnetic Induction Based Body Area Sensor Networks
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DOI：
10.1109/glocom.2016.7841737
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
S. Kisseleff;I. Akyildiz;W. Gerstacker
中科院分区：
文献类型：
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作者：
S. Kisseleff;I. Akyildiz;W. Gerstacker
体域传感器网络（BASNs）是一个具有挑战性的研究领域，在医疗保健和娱乐方面有着广泛的应用。由于目标应用在日常生活中的重要性，BASNs是未来物联网（IoT）的一个有前途的候选者。特别是，人类活动的数据收集可以帮助定制物联网提供的服务，从而显着改善物联网用户体验。基于磁感应（MI）的通信在具有挑战性的环境中的无线功率传输（WPT）、近场通信（NFC）和无线传感器网络（WSN）的上下文中是已知的。在这种方法中，感应线圈被用作传感器节点中的天线。分布式波束成形是一种众所周知的技术，在过去已经被彻底研究。在这里，基本思想是对齐来自不同传感器节点的信号的相位，以这样的方式，一个虚拟的多输入多输出（MIMO）系统具有良好的性能被创建。例如，该策略可以导致所发送的信号的方向性的改善并且增加可实现的数据速率。在这项工作中，我们分析了基于分布式波束形成的MI-BASNs的潜力。我们观察到一个显着增加的可实现的数据速率为建议的分布式波束成形相比，我们选择的基线方案。
Body Area Sensor Networks (BASNs) are a challenging research area with applications in healthcare and entertainment. Due to the importance of the target applications in the daily life, BASNs are a promising candidate for being included into the future Internet of Things (IoT). In particular, the data gathering of the human activity may help customizing the services provided by the IoT and thus dramatically improve the IoT user experience. Magnetic Induction (MI) based communication is known in the context of wireless power transfer (WPT), near-field communication (NFC), and wireless sensor networks (WSNs) in challenging environments. In this approach, induction coils are utilized as antennas in the sensor nodes. Distributed beamforming is a well-known technique, that has been thoroughly investigated in the past. Here, the basic idea is to align the phases of signals from different sensor nodes in such a way that a virtual multiple-input multiple-output (MIMO) system with favorable properties is created. For example, this strategy may lead to an improved directionality of the transmitted signals and increase the achievable data rate. In this work, we analyze the potential of the distributed beamforming based MI-BASNs. We observe a significant increase of the achievable data rate for the proposed distributed beamforming compared to our selected baseline scheme.