A Learning Automaton-Based Algorithm for Maximizing the Transfer Data Rate in a Biological Nanonetwork

A Learning Automaton-Based Algorithm for Maximizing the Transfer Data Rate in a Biological Nanonetwork

Biological nanonetworks have been envisaged to be the most appropriate alternatives to classical electromagnetic nanonetworks for applications in biological environments. Due to the diffusional method of the message exchange process, transfer data rates are not proportional to their electromagnetic...

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Bibliographic Details
Main Author: Konstantinos F. Kantelis
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
biological nanonetworks
diffusion
learning automaton
transfer data rate
ligand–receptor
Online Access:https://www.mdpi.com/2076-3417/12/19/9499

Internet

https://www.mdpi.com/2076-3417/12/19/9499

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