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Open AccessCommunication

Brain-Inspired Data Transmission in Dense Wireless Network

Institute of Radiocommunications, Poznan University of Technology, 61-131 Poznan, Poland
Author to whom correspondence should be addressed.
Sensors 2021, 21(2), 576;
Received: 8 December 2020 / Revised: 8 January 2021 / Accepted: 12 January 2021 / Published: 15 January 2021
(This article belongs to the Special Issue Emerging Technologies in Communications and Networking: 5G and Beyond)
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. View Full-Text
Keywords: dense wireless network; percolation threshold; reliability; stochastic geometry dense wireless network; percolation threshold; reliability; stochastic geometry
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MDPI and ACS Style

Kułacz, Ł.; Kliks, A. Brain-Inspired Data Transmission in Dense Wireless Network. Sensors 2021, 21, 576.

AMA Style

Kułacz Ł, Kliks A. Brain-Inspired Data Transmission in Dense Wireless Network. Sensors. 2021; 21(2):576.

Chicago/Turabian Style

Kułacz, Łukasz; Kliks, Adrian. 2021. "Brain-Inspired Data Transmission in Dense Wireless Network" Sensors 21, no. 2: 576.

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