Molecular communication between two populations of bacteria

Arash Einolghozati, Mohsen Sardari, F. Fekri
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引用次数: 15

Abstract

Molecular communication is an expanding body of research. Recent advances in biology have encouraged using genetically engineered bacteria as the main component in the molecular communication. This has stimulated a new line of research that attempts to study molecular communication among bacteria from an information-theoretic point of view. Due to high randomness in the individual behavior of the bacterium, reliable communication between two bacteria is almost impossible. Therefore, we recently proposed that a population of bacteria in a cluster is considered as a node capable of molecular transmission and reception. This proposition enables us to form a reliable node out of many unreliable bacteria. The bacteria inside a node sense the environment and respond accordingly. In this paper, we study the communication between two nodes, one acting as the transmitter and the other as the receiver. We consider the case in which the information is encoded in the concentration of molecules by the transmitter. The molecules produced by the bacteria in the transmitter node propagate in the environment via the diffusion process. Then, their concentration sensed by the bacteria in the receiver node would decode the information. The randomness in the communication is caused by both the error in the molecular production at the transmitter and the reception of molecules at the receiver. We study the theoretical limits of the information transfer rate in such a setup versus the number of bacteria per node. Finally, we consider M-ary modulation schemes and study the achievable rates and their error probabilities.
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两个细菌种群之间的分子通讯
分子通讯是一个不断扩展的研究领域。生物学的最新进展鼓励使用基因工程细菌作为分子通信的主要组成部分。这激发了一条新的研究路线,试图从信息论的角度研究细菌之间的分子交流。由于细菌个体行为的高度随机性,两种细菌之间的可靠交流几乎是不可能的。因此,我们最近提出,一个集群中的细菌群体被认为是一个能够进行分子传递和接受的节点。这个命题使我们能够从许多不可靠的细菌中形成一个可靠的节点。节点内的细菌感知环境并做出相应的反应。在本文中,我们研究了两个节点之间的通信,一个作为发送器,另一个作为接收器。我们考虑的情况下,信息是编码在分子的浓度由发射机。细菌在传递节点中产生的分子通过扩散过程在环境中传播。然后,接收节点上的细菌感知到它们的浓度,就会解码这些信息。通信中的随机性是由发送端分子产生的误差和接收端分子接收的误差引起的。我们研究了这种设置中信息传输速率与每个节点细菌数量的理论极限。最后,我们考虑了多种调制方案,并研究了可实现的速率及其误差概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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