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Opto-ultrasonic communications for wireless intra-body nanonetworks

机译:无线体内纳米网络的光超声通信

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Wirelessly interconnected nanorobots, i.e., engineered devices of sizes ranging from one to a few hundred nanometers, are promising revolutionary diagnostic and therapeutic medical applications that could enhance the treatment of major diseases. Each nanorobot is usually designed to perform a set of basic tasks such as sensing and actuation. A dense wireless network of nano-devices, i.e., a nanonetwork, could potentially accomplish new and more complex functionalities, e.g., in-vivo monitoring or adaptive drug-delivery, thus enabling revolutionary nanomedicine applications. Several innovative communication paradigms to enable nanonetworks have been proposed in the last few years, including electromagnetic communications in the terahertz band, or molecular and neural communications. In this paper, we propose and discuss an alternative approach based on establishing intra-body opto-ultrasonic communications among nanorobots. Opto-ultrasonic communications are based on the optoacoustic effect, which enables the generation of high-frequency acoustic waves by irradiating the medium with electromagnetic energy in the optical frequency range. We first discuss the fundamentals of nanoscale opto-ultrasonic communications in biological tissues by modeling the generation, propagation and detection of opto-ultrasonic waves, and we explore important tradeoffs. Then, we discuss potential research challenges for the design of opto-ultrasonic nanonetworks of implantable devices at the physical, medium access control, and network layers of the protocol stack.
机译:无线互连的纳米机器人,即大小从一纳米到几百纳米的工程设备,有望在革命性的诊断和治疗医学应用中实现,从而可以增强对主要疾病的治疗。通常,每个纳米机器人都被设计为执行一系列基本任务,例如传感和致动。纳米设备的密集无线网络,即纳米网络,有可能实现新的和更复杂的功能,例如体内监测或自适应药物递送,从而实现革命性的纳米医学应用。在过去的几年中,已经提出了几种创新的通信范式来实现纳米网络,包括太赫兹频带的电磁通信或分子和神经通信。在本文中,我们提出并讨论了一种基于建立纳米机器人之间的体内光电超声通信的替代方法。光超声通信基于光声效应,它可以通过在光学频率范围内用电磁能照射介质来生成高频声波。我们首先通过对光-超声波的产生,传播和检测进行建模,讨论生物组织中纳米级光-超声通信的基础知识,并探讨重要的取舍。然后,我们讨论了在协议栈的物理层,介质访问控制层和网络层设计可植入设备的光-超声纳米网络的潜在研究挑战。

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