Performance analysis of nanosystem based on cooperative relay for nanonetworks

IF 1.2 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Eman S. Attia, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Saied M. Abd El-atty, Konstantinos A. Lizos, Osama Alfarraj
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引用次数: 0

Abstract

Recent nanomedical applications, particularly targeted drug delivery system (TDDS) scenarios, have made use of molecular communications via diffusion (MCvD) based on nanosystems. In order to improve the performance of such nanosystems, nanonetworks-based molecular communication is investigated. Employing a nanorelay approach and cooperative molecular communications, we provide a method for optimizing the performance of the nanosystem while taking blood flow effects into consideration in terms of drift velocity. Unlike the earlier studies, the position of the nanorelay and the allocated amount of molecular drugs will be optimized. We provide closed-form expressions for molecular channel capacity and the error probability of a molecular frame. According to the simulation results, it is possible to significantly reduce error probability of a molecular frame and thus increase channel capacity by optimizing the drift velocity, detection threshold and the location of the nanorelay within the proposed nanosystem.

基于协同中继的纳米网络系统性能分析
& lt; abstract>最近的纳米医学应用,特别是靶向药物递送系统(TDDS)场景,已经利用了基于纳米系统的通过扩散的分子通信(MCvD)。为了提高这些纳米系统的性能,研究了基于纳米网络的分子通信。采用纳米中继方法和协作分子通信,我们提供了一种优化纳米系统性能的方法,同时考虑了血流效应在漂移速度方面的影响。与之前的研究不同,纳米继电器的位置和分子药物的分配数量将得到优化。我们提供了分子通道容量和分子框架误差概率的封闭表达式。根据仿真结果,通过优化纳米系统内的漂移速度、检测阈值和纳米继电器的位置,可以显著降低分子框架的误差概率,从而增加通道容量。& lt; / abstract>
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来源期刊
Networks and Heterogeneous Media
Networks and Heterogeneous Media 数学-数学跨学科应用
CiteScore
1.80
自引率
0.00%
发文量
32
审稿时长
6-12 weeks
期刊介绍: NHM offers a strong combination of three features: Interdisciplinary character, specific focus, and deep mathematical content. Also, the journal aims to create a link between the discrete and the continuous communities, which distinguishes it from other journals with strong PDE orientation. NHM publishes original contributions of high quality in networks, heterogeneous media and related fields. NHM is thus devoted to research work on complex media arising in mathematical, physical, engineering, socio-economical and bio-medical problems.
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