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Two-way chemotaxis-based communication for biological nanonetworks

Published: 03 October 2022 Publication History

Abstract

This work proposes a new switching scheme between different chemotactic substances, as a way to affect bacterial movement and to enhance message delivery in biological nanonetworks. By switching between different chemotactic substances release plans, controlled by the stations, the accuracy of two-way communication in such networks is improved. The results indicate that the proposed conditional release of chemotactic molecules is effective for transmitting messages, enhancing reliability and reducing channel saturation.

References

[1]
Ian F. Akyildiz, Fernando Brunetti, and Cristina Blázquez. 2008. Nanonetworks: A new communication paradigm. Computer Networks 52, 12 (2008), 2260--2279.
[2]
Mohammad Upal Mahfuz, Dimitrios Makrakis, and Hussein T. Mouftah. 2010. On the characterization of binary concentration-encoded molecular communication in nanonetworks. Nano Communication Networks 1, 4 (2010), 289--300.
[3]
Nikhil Mittal, Elena O. Budrene, Michael P. Brenner, and Alexander van Oudenaarden. 2003. Motility of Escherichia coli cells in clusters formed by chemotactic aggregation. Proceedings of the National Academy of Sciences of the United States of America 100, 23 (2003), 13259--13263.
[4]
Theodoros Nestoridis, Konstantinos Kantelis, Stathis Mavridopoulos, Georgios Papadimitriou, and Petros Nicopolitidis. 2019. Directional transmission in biological nanonetworks via positive Chemotaxis. In Proceedings of the Sixth Annual ACM International Conference on Nanoscale Computing and Communication. ACM, New York, NY, USA, 1--2.

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  1. Two-way chemotaxis-based communication for biological nanonetworks

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    NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication
    October 2022
    177 pages
    ISBN:9781450398671
    DOI:10.1145/3558583
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

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    Published: 03 October 2022

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    Author Tags

    1. biological nanonetworks
    2. chemotaxis
    3. diffusion

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    Overall Acceptance Rate 97 of 135 submissions, 72%

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