Epidemic-Like Calcium Signaling in Mobile Molecular Communication Networks
Epidemic-Like Calcium Signaling in Mobile Molecular Communication Networks
复制标题
移动分子通信网络中类似流行病的钙信号传导
DOI：
10.1109/tnb.2022.3155644
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发表时间：
2022-02
影响因子：
3.9
通讯作者：
Ruyan Wang
中科院分区：
文献类型：
--
作者：
Peng He;Mengnan Su;Yaping Cui;Dapeng Wu;Ruyan Wang
分子通信是一种新兴的纳米网络通信技术。由于Ca2+信号在生物代谢中的重要作用和在通信工程中的可用特性，它是一种很有前途的MC选择。到目前为止，科学家们通过生物实验和模拟来分析Ca2+信号。目前的研究缺乏定量分析Ca2+信号在网络尺度上传播的数学模型。在这项工作中，我们研究Ca2+信号在生物细胞网络中的传播模式。首先，我们提出了一个改进的Ca2+动力学模型来描述Ca2+信号，考虑细胞的运动和Ca2+浓度的衰减。然后，我们通过波形特征进行多模态分析，并根据其状态对细胞进行分类。此外，在典型流行病模型的基础上，提出了分析钙信号传播的数学模型。该模型充分考虑了以下两方面的相似性：1)传染病在流动个体间传播；2) Ca2+信号在移动细胞间传播。考虑到Ca2+信号的独特特性，对所提出的模型进行了修正以适应实际情况。最后，仿真结果表明，所提出的Ca2+传播模型与蒙特卡罗仿真结果吻合，表明该模型有助于理解Ca2+信号的传播距离和传播速度。
Molecular Communication is an emerging technology enabling communications in nano-networks. Ca2+ signal is one promising option of MC due to the important role in bio-metabolisms and the available characteristics in communication engineering. So far, scientists analyze Ca2+ signaling via bio-experiments and simulations. Current researches lack a mathematical model for quantitative analysis of Ca2+ signal propagation on the network scale. In this work, we investigate the propagation patterns of Ca2+ signals in bio-cellular network. Firstly, we propose an improved Ca2+ dynamics model to describe Ca2+ signals considering movements of cells and attenuation of Ca2+ concentration. Then, we perform multi-modal analysis through the waveform characteristics, and classify cells according to their states. Moreover, a mathematical model is put forward to analyze the propagation of calcium signals based on typical epidemic model. The proposed model fully considers the similarity between: 1) epidemic disease propagates among mobile individuals; 2) Ca2+ signal propagates among mobile cells. The proposed model is amended to fit the case considering unique characters of Ca2+ signal. Finally, simulation results show that the proposed Ca2+ propagation model is coincident with Monte Carlo simulation results, indicating that the model is helpful for understanding how far and how fast Ca2+ signal can propagate.
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影响因子：
7.8
作者：
Guang Yu;M. Yi;Y. Jia;Jun Tang
通讯作者：
Guang Yu;M. Yi;Y. Jia;Jun Tang
DOI：
10.1109/lcomm.2017.2678467
发表时间：
2017-02
期刊：
IEEE Communications Letters
影响因子：
--
作者：
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通讯作者：
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影响因子：
3.9
作者：
A. Al-Helali;B. Liang;N. Nasser
通讯作者：
A. Al-Helali;B. Liang;N. Nasser
影响因子：
20.6
作者：
T. Nakano;Yutaka Okaie;Shouhei Kobayashi;T. Hara;Y. Hiraoka;T. Haraguchi
通讯作者：
T. Nakano;Yutaka Okaie;Shouhei Kobayashi;T. Hara;Y. Hiraoka;T. Haraguchi
DOI：
10.1109/iccchinaw.2019.8849975
发表时间：
2019-08
期刊：
2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)
影响因子：
--
作者：
Bowen Pi;Peng He;Kun Yang;Qiang Liu
通讯作者：
Bowen Pi;Peng He;Kun Yang;Qiang Liu