On the Target Detection Performance of a Molecular Communication Network With Multiple Mobile Nanomachines

IF 3.7 4区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

IEEE Transactions on NanoBioscience Pub Date : 2024-03-09 DOI:10.1109/TNB.2024.3399188

Nithin V. Sabu;Abhishek K. Gupta

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引用次数: 0

Abstract

A network of nanomachines (NMs) can be used to build a target detection system for a variety of promising applications. They have the potential to detect toxic chemicals, infectious bacteria, and biomarkers of dangerous diseases such as cancer within the human body. Many diseases and health disorders can be detected early and efficiently treated in the future by utilizing these systems. To fully grasp the potential of these systems, mathematical analysis is required. This paper describes an analytical framework for modeling and analyzing the performance of target detection systems composed of multiple mobile nanomachines of varying sizes with passive/absorbing boundaries. We consider both direct contact detection, in which NMs must physically contact the target to detect it, and indirect sensing, in which NMs must detect the marker molecules emitted by the target. The detection performance of such systems is calculated for degradable and non-degradable targets, as well as mobile and stationary targets. The derived expressions provide various insights, such as the effect of NM density and target degradation on detection probability.

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关于具有多个移动纳米机器的分子通信网络的目标探测性能。

纳米机械（NMs）网络可用于建立目标检测系统，应用前景广阔。它们具有检测有毒化学物质、传染性细菌和人体内危险疾病（如癌症）的生物标志物的潜力。利用这些系统可以及早检测出许多疾病和健康问题，并在未来进行有效治疗。要充分把握这些系统的潜力，需要进行数学分析。本文介绍了一个分析框架，用于模拟和分析由多个大小不一、具有被动/吸收边界的移动纳米机械组成的目标检测系统的性能。我们考虑了直接接触探测和间接传感两种方式，前者是指纳米机械体必须与目标进行物理接触才能进行探测，后者是指纳米机械体必须探测目标发射的标记分子。针对可降解和不可降解目标，以及移动和静止目标，计算了此类系统的探测性能。推导出的表达式提供了各种见解，如 NM 密度和目标降解对探测概率的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on NanoBioscience 工程技术-纳米科技

CiteScore

7.00

自引率

5.10%

发文量

197

审稿时长

>12 weeks

期刊介绍： The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).