Molecular Communication is an emerging technology enabling communications in nano-networks. Ca 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 Ca signaling via bio-experiments and simulations. Current researches lack a mathematical model for quantitative analysis of Ca signal propagation on the network scale. In this work, we investigate the propagation patterns of Ca signals in bio-cellular network. Firstly, we propose an improved Ca dynamics model to describe Ca signals considering movements of cells and attenuation of Ca 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) Ca signal propagates among mobile cells. The proposed model is amended to fit the case considering unique characters of Ca signal. Finally, simulation results show that the proposed Ca propagation model is coincident with Monte Carlo simulation results, indicating that the model is helpful for understanding how far and how fast Ca signal can propagate.
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| http://dx.doi.org/10.1109/TNB.2022.3155644 | DOI Listing |
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