Elayan Hadeel, Shubair Raed M, Jornet Josep Miquel, Johari Pedram
IEEE Trans Nanobioscience. 2017 Sep;16(6):491-503. doi: 10.1109/TNB.2017.2718967. Epub 2017 Jun 22.
Nanosized devices operating inside the human body open up new prospects in the healthcare domain. Invivo wireless nanosensor networks (iWNSNs) will result in a plethora of applications ranging from intrabody health-monitoring to drug-delivery systems. With the development of miniature plasmonic signal sources, antennas, and detectors, wireless communications among intrabody nanodevices will expectedly be enabled at both the terahertz band (0.1-10 THz) as well as optical frequencies (400-750 THz). This result motivates the analysis of the phenomena affecting the propagation of electromagnetic signals inside the human body. In this paper, a rigorous channel model for intrabody communication in iWNSNs is developed. The total path loss is computed by taking into account the combined effect of the spreading of the propagating wave, molecular absorption from human tissues, as well as scattering from both small and large body particles. The analytical results are validated by means of electromagnetic wave propagation simulations. Moreover, this paper provides the first framework necessitated for conducting link budget analysis between nanodevices operating within the human body. This analysis is performed by taking into account the transmitter power, medium path loss, and receiver sensitivity, where both the THz and photonic devices are considered. The overall attenuation model of intrabody THz and optical frequency propagation facilitates the accurate design and practical deployment of iWNSNs.
在人体内部运行的纳米级设备为医疗保健领域开辟了新的前景。体内无线纳米传感器网络(iWNSNs)将带来大量应用,从体内健康监测到药物输送系统。随着微型等离子体信号源、天线和探测器的发展,预计体内纳米设备之间的无线通信将在太赫兹频段(0.1 - 10太赫兹)以及光频率(400 - 750太赫兹)实现。这一成果促使人们对影响人体内部电磁信号传播的现象进行分析。本文针对iWNSNs中的体内通信开发了一种严格的信道模型。通过考虑传播波的扩散、人体组织的分子吸收以及大小人体颗粒的散射等综合效应来计算总路径损耗。通过电磁波传播模拟对分析结果进行了验证。此外,本文提供了进行人体内部纳米设备之间链路预算分析所需的首个框架。该分析通过考虑发射机功率、介质路径损耗和接收机灵敏度来进行,其中同时考虑了太赫兹和光子设备。体内太赫兹和光频率传播的整体衰减模型有助于iWNSNs的精确设计和实际部署。