A fuzzy-logic-based fault detection system for medical Internet of Nano Things

IF 2.9 4区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Nano Communication Networks Pub Date : 2021-12-01 DOI:10.1016/j.nancom.2021.100366

Samane Sharif , Seyed Amin Hosseini Seno , Alireza Rowhanimanesh

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引用次数: 4

Abstract

In this paper, a fuzzy-logic-based fault detection system is designed for a medical Internet of Nano Things architecture. The goal of this system is to detect the root cause and severity of the faults occurred in the in-body nanonetwork. Since nanomachines have very limited capabilities, the sampled data from the in-body nanonetwork is sent to cloud servers by means of an on-body micro-gateway. The fuzzy fault detection system was designed based on two well-known methods including Mamdani and Takagi–Sugeno–Kang (TSK) fuzzy systems. The performance of the proposed approach is evaluated on a theoretical model of medical in-body nanonetwork from the literature through in silico study. This nanonetwork includes eleven types of nanomachines which cooperate with each other within the arterial wall and interact with low-density lipoprotein (LDL), drug and signaling molecules in order to prevent the formation and development of Atherosclerosis plaques. Any fault in these nanomachines can highly take negative effect on treatment efficiency. The results of computer simulation and comparative study on 37 atherosclerosis patients demonstrate how the proposed approach could successfully detect the root cause and severity of the faults occurred in the nanonetwork.

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基于模糊逻辑的医疗纳米物联网故障检测系统

本文设计了一种基于模糊逻辑的纳米物联网医疗故障检测系统。该系统的目标是检测体内纳米网络中发生故障的根本原因和严重程度。由于纳米机器的能力非常有限，来自体内纳米网络的采样数据通过体内微网关发送到云服务器。模糊故障检测系统是基于两种著名的方法设计的，包括Mamdani和Takagi–Sugeno–Kang（TSK）模糊系统。通过计算机研究，在文献中的医学体内纳米网络理论模型上评估了所提出方法的性能。这种纳米网络包括11种类型的纳米机器，它们在动脉壁内相互协作，并与低密度脂蛋白（LDL）、药物和信号分子相互作用，以防止动脉粥样硬化斑块的形成和发展。这些纳米机器中的任何故障都可能对治疗效率产生严重的负面影响。对37名动脉粥样硬化患者的计算机模拟和比较研究结果表明，所提出的方法可以成功检测纳米网络故障的根本原因和严重程度。

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

Nano Communication Networks Mathematics-Applied Mathematics

CiteScore

6.00

自引率

6.90%

发文量

期刊介绍： The Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nanoscale communication and networking. Theoretical research contributions presenting new techniques, concepts or analyses; applied contributions reporting on experiences and experiments; and tutorial and survey manuscripts are published. Nano Communication Networks is a part of the COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except nanonetworking, which is the scope of this journal.