细菌菌落网络中的数据收集：利用分子通信的集体感知和中继
Data Gathering in Networks of Bacteria Colonies: Collective Sensing and Relaying Using Molecular Communication
摘要：
新的生物和工业应用的前景，需要在微观尺度上的通信，鼓励研究的生物兼容的通信网络的设计，使用网络原语已经在自然界中。构建这种网络最有希望的候选者之一是适应和设计能够感知，驱动，最重要的是相互通信的特定类型的细菌。在本文中，我们描述了一种新的体系结构的细菌网络，形成一个数据收集网络，在传统的传感器网络。这种架构的关键是网络中的节点本身就是一个细菌菌落;作为一个个体细菌（生物制剂）是一个功能有限的微小不可靠元素。我们在两种不同的情况下描述这样的网络。我们研究的数据收集（传感和多跳通信）的情况下，在传感器网络的共识问题，在多节点网络。我们将解释菌落中的细菌如何集体协调它们的行动，作为一个节点来执行单个细菌不可能（至少可靠地）完成的传感和中继任务。菌落中的每一个细菌通过感测外部参数（例如，来自另一个节点的分子信号），并与菌落中的其他细菌共享其信念。然后，经过一些相互作用，菌落中的所有细菌形成一个共同的信念，并作为一个单一的节点。我们将模拟每个细菌的接收过程，并研究其对节点整体功能的影响。我们将提出的数据收集方案的多跳通信的可靠性，以及在共识的情况下收敛的速度的结果。
英文摘要：
The prospect of new biological and industrial applications that require communication in micro-scale, encourages research on the design of bio-compatible communication networks using networking primitives already available in nature. One of the most promising candidates for constructing such networks is to adapt and engineer specific types of bacteria that are capable of sensing, actuation, and above all, communication with each other. In this paper, we describe a new architecture for networks of bacteria to form a data collecting network, as in traditional sensor networks. The key to this architecture is the fact that the node in the network itself is a bacterial colony; as an individual bacterium (biological agent) is a tiny unreliable element with limited capabilities. We describe such a network under two different scenarios. We study the data gathering (sensing and multihop communication) scenario as in sensor networks followed by the consensus problem in a multi-node network. We will explain as to how the bacteria in the colony collectively orchestrate their actions as a node to perform sensing and relaying tasks that would not be possible (at least reliably) by an individual bacterium. Each single bacterium in the colony forms a belief by sensing external parameter (e.g., a molecular signal from another node) from the medium and shares its belief with other bacteria in the colony. Then, after some interactions, all the bacteria in the colony form a common belief and act as a single node. We will model the reception process of each individual bacteria and will study its impact on the overall functionality of a node. We will present results on the reliability of the multihop communication for data gathering scenario as well as the speed of convergence in the consensus scenario.
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