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Research Article | Open Access

Performance analysis of nanosystem based on cooperative relay for nanonetworks

Eman S. Attia1Ashraf A. M. Khalaf1Fathi E. Abd El-Samie2Saied M. Abd El-atty2( )Konstantinos A. Lizos3,4Osama Alfarraj5
Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia, Egypt
Department of Electronics and Electrical Communication, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt
Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo (UiO), Norway
Hellenic Ministry of Foreign Affairs, Greece
Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia
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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.

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Networks and Heterogeneous Media
Pages 1657-1677

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Cite this article:
Attia ES, Khalaf AAM, El-Samie FEA, et al. Performance analysis of nanosystem based on cooperative relay for nanonetworks. Networks and Heterogeneous Media, 2023, 18(4): 1657-1677. https://doi.org/10.3934/nhm.2023072

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Received: 03 March 2023
Revised: 11 August 2023
Accepted: 21 August 2023
Published: 15 December 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)