簇状分子纳米网络基础

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Seyed Mohammad Azimi-Abarghouyi;Harpreet S. Dhillon;Leandros Tassiulas
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引用次数: 4

摘要

我们提出了一种全面的方法来建模、性能分析和设计集群分子纳米网络,在该网络中,不同集群的纳米机器释放适当数量的分子,将其感知的信息传输到各自的融合中心。融合中心通过计数在给定时隙中接收到的分子数量来解码这些信息。由于生物介质的传播特性,这种设置同时受到簇间和簇内干扰,需要仔细建模。为了便于进行严格的分析,我们首先为这种设置开发了一个新的空间模型,将纳米机器建模为泊松聚类过程,融合中心形成其母点过程。对于这种设置,我们首先在三维空间中导出一组新的距离分布,从而为Thomas聚类过程的特殊情况产生了一个非常简单的结果。利用此方法,对来自先前符号和不同簇的总干扰进行了表征,并获得了其期望值和拉普拉斯变换。分析了适用于生物应用的简单检测器的误差概率,并给出了近似结果和上界结果。还研究了不同参数对性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fundamentals of Clustered Molecular Nanonetworks
We present a comprehensive approach to the modeling, performance analysis, and design of clustered molecular nanonetworks in which nano-machines of different clusters release an appropriate number of molecules to transmit their sensed information to their respective fusion centers. The fusion centers decode this information by counting the number of molecules received in the given time slot. Owing to the propagation properties of the biological media, this setup suffers from both inter- and intra-cluster interference that needs to be carefully modeled. To facilitate rigorous analysis, we first develop a novel spatial model for this setup by modeling nano-machines as a Poisson cluster process with the fusion centers forming its parent point process. For this setup, we first derive a new set of distance distributions in the three-dimensional space, resulting in a remarkably simple result for the special case of the Thomas cluster process. Using this, total interference from previous symbols and different clusters is characterized and its expected value and Laplace transform are obtained. The error probability of a simple detector suitable for biological applications is analyzed, and approximate and upper-bound results are provided. The impact of different parameters on the performance is also investigated.
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来源期刊
CiteScore
3.90
自引率
13.60%
发文量
23
期刊介绍: As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.
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