论文标题
通过2D分子信号分析在法定感测中合作者的表征
Characterization of Cooperators in Quorum Sensing with 2D Molecular Signal Analysis
论文作者
论文摘要
在法定感测(QS)中,细菌交换分子信号以共同起作用。提出了一个可分析的模型,用于表征细菌群体内QS信号传播以及在二维(2D)环境中响应式合作细菌(即合作者)的数量。与先前的确定性拓扑结构和简化的分子传播通道不同,这项工作考虑了随机分布的细菌之间的连续发射,扩散,降解和接收。使用随机几何形状,得出了2D通道响应和在细菌下合作的相应概率。基于这种概率,在生成函数和合作者数量的矩矩的不同顺序中得出了新的表达式。分析结果与通过基于粒子的方法获得的仿真结果一致。此外,将泊松和高斯分布与近似合作者数量的分布进行了比较,而泊松分布提供了最佳的总近似值。派生的通道响应通常可以应用于任何分子通信模型,其中单个或多个发射器将分子连续释放到2D环境中。合作者数量的派生统计数据可用于预测和控制QS过程,例如预测和降低生物膜形成的可能性。
In quorum sensing (QS), bacteria exchange molecular signals to work together. An analytically-tractable model is presented for characterizing QS signal propagation within a population of bacteria and the number of responsive cooperative bacteria (i.e., cooperators) in a two-dimensional (2D) environment. Unlike prior works with a deterministic topology and a simplified molecular propagation channel, this work considers continuous emission, diffusion, degradation, and reception among randomly-distributed bacteria. Using stochastic geometry, the 2D channel response and the corresponding probability of cooperation at a bacterium are derived. Based on this probability, new expressions are derived for the moment generating function and different orders of moments of the number of cooperators. The analytical results agree with the simulation results obtained by a particle-based method. In addition, the Poisson and Gaussian distributions are compared to approximate the distribution of the number of cooperators and the Poisson distribution provides the best overall approximation. The derived channel response can be generally applied to any molecular communication model where single or multiple transmitters continuously release molecules into a 2D environment. The derived statistics of the number of cooperators can be used to predict and control the QS process, e.g., predicting and decreasing the likelihood of biofilm formation.