论文标题
基于流体动力学的距离估计算法宏观分子通信
Fluid Dynamics-Based Distance Estimation Algorithm for Macroscale Molecular Communication
论文作者
论文摘要
从单细菌到先进的动物,许多物种使用分子通信(MC)通过化学信号相互共享信息。尽管MC主要是在微观中研究的,但在Macroscale中出现了新的实际应用。对于通道参数的估计方法,例如实用宏观MC系统的距离,这是必不可少的,该方法包括喷雾器以发射器(TX)和传感器为接收器(RX)发射分子(TX)。在本文中,提出了一种基于流体动力学的新方法,以推导实际MC系统中的距离估计。根据这种方法,传输分子被认为是MC通道中的移动液滴。通过这种方法,基于流体动力学的距离估计(FDDE)算法通过在每个时间步骤中更新蒸发液滴的直径来预测传输液滴的传播距离。 FDDE算法通过实验数据验证。结果表明,可以通过流体动力学方法来估计距离,该方法引入了新的参数,例如空气和液滴混合物中的液滴的体积分数以及TX的梁宽。此外,蒸发的效果显示出数值结果。
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.