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Brain-Inspired Data Transmission in Dense Wireless Network

In this paper, the authors investigate the innovative concept of a dense wireless network supported by additional functionalities inspired by the human nervous system. The nervous system controls the entire human body due to reliable and energetically effective signal transmission. Among the structu...

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Detalles Bibliográficos
Autores principales: Kułacz, Łukasz, Kliks, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830927/
https://www.ncbi.nlm.nih.gov/pubmed/33467437
http://dx.doi.org/10.3390/s21020576
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author Kułacz, Łukasz
Kliks, Adrian
author_facet Kułacz, Łukasz
Kliks, Adrian
author_sort Kułacz, Łukasz
collection PubMed
description In this paper, the authors investigate the innovative concept of a dense wireless network supported by additional functionalities inspired by the human nervous system. The nervous system controls the entire human body due to reliable and energetically effective signal transmission. Among the structure and modes of operation of such an ultra-dense network of neurons and glial cells, the authors selected the most worthwhile when planning a dense wireless network. These ideas were captured, modeled in the context of wireless data transmission. The performance of such an approach have been analyzed in two ways, first, the theoretic limits of such an approach has been derived based on the stochastic geometry, in particular—based on the percolation theory. Additionally, computer experiments have been carried out to verify the performance of the proposed transmission schemes in four simulation scenarios. Achieved results showed the prospective improvement of the reliability of the wireless networks while applying proposed bio-inspired solutions and keeping the transmission extremely simple.
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spelling pubmed-78309272021-01-26 Brain-Inspired Data Transmission in Dense Wireless Network Kułacz, Łukasz Kliks, Adrian Sensors (Basel) Communication In this paper, the authors investigate the innovative concept of a dense wireless network supported by additional functionalities inspired by the human nervous system. The nervous system controls the entire human body due to reliable and energetically effective signal transmission. Among the structure and modes of operation of such an ultra-dense network of neurons and glial cells, the authors selected the most worthwhile when planning a dense wireless network. These ideas were captured, modeled in the context of wireless data transmission. The performance of such an approach have been analyzed in two ways, first, the theoretic limits of such an approach has been derived based on the stochastic geometry, in particular—based on the percolation theory. Additionally, computer experiments have been carried out to verify the performance of the proposed transmission schemes in four simulation scenarios. Achieved results showed the prospective improvement of the reliability of the wireless networks while applying proposed bio-inspired solutions and keeping the transmission extremely simple. MDPI 2021-01-15 /pmc/articles/PMC7830927/ /pubmed/33467437 http://dx.doi.org/10.3390/s21020576 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Kułacz, Łukasz
Kliks, Adrian
Brain-Inspired Data Transmission in Dense Wireless Network
title Brain-Inspired Data Transmission in Dense Wireless Network
title_full Brain-Inspired Data Transmission in Dense Wireless Network
title_fullStr Brain-Inspired Data Transmission in Dense Wireless Network
title_full_unstemmed Brain-Inspired Data Transmission in Dense Wireless Network
title_short Brain-Inspired Data Transmission in Dense Wireless Network
title_sort brain-inspired data transmission in dense wireless network
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830927/
https://www.ncbi.nlm.nih.gov/pubmed/33467437
http://dx.doi.org/10.3390/s21020576
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