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体域网中分子通信的链式建模。

Chain Modeling of Molecular Communications for Body Area Network.

机构信息

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunica-Tions, Chongqing 400065, China.

Key Laboratory of Optical Communication and Networks in Chongqing, Chongqing 400065, China.

出版信息

Sensors (Basel). 2019 Jan 18;19(2):395. doi: 10.3390/s19020395.

DOI:10.3390/s19020395
PMID:30669381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6359748/
Abstract

Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance.

摘要

分子通信为精确调节生物信号提供了一个有吸引力的机会,在体域网的纳米医学应用中具有重要意义。在本文中,我们利用分子通信工具来解释神经信号如何对外界刺激做出响应。首先,我们通过考虑三种不同通信介质的生物信号,提出了一个分子通信系统的链式模型。其次,基于现有的知识,我们建立了激素信号、Ca 2+ 信号和神经信号的通信模型。然后,提出了一种放大转发中继机制来连接不同类型的信号。仿真结果表明,所提出的通信系统促进了神经系统和纳米机器之间的信息交换,并表明适当的调整可以优化通信系统的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/f03b38ded294/sensors-19-00395-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/2c103c523bf0/sensors-19-00395-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/abcecb0c3d01/sensors-19-00395-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/3ea7753efb2f/sensors-19-00395-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/837f70e1ca7f/sensors-19-00395-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/49b8c3c0f18a/sensors-19-00395-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/5290c52209fb/sensors-19-00395-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/f03b38ded294/sensors-19-00395-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/2c103c523bf0/sensors-19-00395-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/abcecb0c3d01/sensors-19-00395-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/3ea7753efb2f/sensors-19-00395-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/837f70e1ca7f/sensors-19-00395-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/49b8c3c0f18a/sensors-19-00395-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/5290c52209fb/sensors-19-00395-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d01d/6359748/f03b38ded294/sensors-19-00395-g007.jpg

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