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arXiv 2003.11815physics.flu-dyneess.SP
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基于流体动力学的大尺度分子通讯距离估计算法

Fluid Dynamics-Based Distance Estimation Algorithm for Macroscale Molecular Communication

Fatih Gulec, Baris Atakan

摘要:

许多物种,从单细胞细菌到高级动物,都使用分子通信(MC)通过化学信号彼此共享信息。虽然MC主要是在微观尺度上研究,但新的实际应用出现在宏观尺度上。这是必要的,以获得一个估计方法的信道参数,如实际的宏观MC系统,其中包括一个喷雾器发射分子作为发射器(TX)和一个传感器作为接收器(RX)的距离。本文提出了一种基于流体动力学的新方法,用于推导实际MC系统中的距离估计。根据这种方法,被传输的分子被认为是在MC通道中移动的液滴。在此基础上,提出了基于流体动力学的距离估计(FDDE)算法,该算法通过在每个时间步更新蒸发液滴的直径来预测传输液滴的传播距离。通过实验数据验证了FDDE算法的有效性。结果表明,该距离可以通过流体动力学方法来估计,该方法引入了新的参数,例如空气和液体液滴的混合物中的液滴的体积分数和TX的波束宽度。此外,蒸发的影响与数值结果显示。

英文摘要:

Many species, from single-cell bacteria to advanced animals, use molecular communication (MC) to share information with each other via chemical signals. Although MC is mostly studied in microscale, new practical applications emerge in macroscale. It is essential to derive an estimation method for channel parameters such as distance for practical macroscale MC systems which include a sprayer emitting molecules as a transmitter (TX) and a sensor as the receiver (RX). In this paper, a novel approach based on fluid dynamics is proposed for the derivation of the distance estimation in practical MC systems. According to this approach, transmitted molecules are considered as moving droplets in the MC channel. With this approach, the Fluid Dynamics-Based Distance Estimation (FDDE) algorithm which predicts the propagation distance of the transmitted droplets by updating the diameter of evaporating droplets at each time step is proposed. FDDE algorithm is validated by experimental data. The results reveal that the distance can be estimated by the fluid dynamics approach which introduces novel parameters such as the volume fraction of droplets in a mixture of air and liquid droplets and the beamwidth of the TX. Furthermore, the effect of the evaporation is shown with the numerical results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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