Cluster Formation by Mobile Molecular Communication Systems
Cluster Formation by Mobile Molecular Communication Systems
复制标题
移动分子通信系统的簇形成
DOI：
10.1109/tmbmc.2020.2981662
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Y. Okaie
中科院分区：
文献类型：
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作者：
Naomi Kuze;Daichi Kominami;Kenji Kashima;Masayuki Murata;Y. Okaie
本文研究了移动分子通信系统，其中移动生物纳米机释放信号分子形成生物纳米机集群。本文研究了生物纳米机器检测信号分子的灵敏度如何影响簇的形成。当灵敏度高时，每个生物纳米机器都会对它释放的信号分子做出反应。当灵敏度较低时，只有当一组生物纳米机器共同释放信号分子时，生物纳米机器才会对信号分子做出反应。通过考虑生物纳米机器检测信号分子的敏感性，我们扩展了一个旋转扩散模型来描述生物纳米机器的迁移性。我们还开发了表征形成的集群的措施。模拟实验结果表明，生物纳米机器检测信号分子的灵敏度如何影响簇的形成数量、簇的平均大小、簇的平均直径和簇之间的平均最近邻距离。
This paper considers mobile molecular communication systems where mobile bio-nanomachines release signaling molecules to form a cluster of bio-nanomachines. This paper examines how the sensitivity of bio-nanomachines to detect signaling molecules impacts on cluster formation. When the sensitivity is high, each bio-nanomachine reacts to signaling molecules that it releases. When the sensitivity is low, a bio-nanomachine reacts to signaling molecules only when a group of bio-nanomachines collectively releases signaling molecules. We extend a rotational diffusion model to describe the mobility of bio-nanomachines by considering the sensitivity of bio-nanomachines to detect signaling molecules. We also develop measures to characterize formed clusters. Simulation experiment results are shown to demonstrate how the sensitivity of bio-nanomachine to detect signaling molecules impacts the number of clusters formed, the mean cluster size, the mean cluster diameter, and the mean nearest neighbor distance between clusters.