Model and analysis of population density estimation via quorum sensing

Nicolo Michelusi; Urbashi Mitra

doi:10.1109/ACSSC.2016.7869192

Model and analysis of population density estimation via quorum sensing

Nicolo Michelusi, Urbashi Mitra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

Microbial communities regulate various collective functions using molecular signaling circuits known as quorum sensing. Understanding and modeling of quorum sensing regulation is essential to design nano-networks and enable communication and coordination among nano-machines. In this paper, a stochastic queuing model of quorum sensing is developed, inspired by known biological processes. The dynamics of quorum sensing across the bacterial community are investigated analytically. Necessary conditions for population density estimation via quorum sensing are presented. It is shown that the synthesis rate of autoinducers needs to lie within a certain range of values, in order to establish correlation between the local autoinducer concentration within each cell and population density.

Original language	English (US)
Title of host publication	Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	961-965
Number of pages	5
ISBN (Electronic)	9781538639542
DOIs	https://doi.org/10.1109/ACSSC.2016.7869192
State	Published - Mar 1 2017
Externally published	Yes
Event	50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States Duration: Nov 6 2016 → Nov 9 2016

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Country/Territory	United States
City	Pacific Grove
Period	11/6/16 → 11/9/16

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2016.7869192

Cite this

Michelusi, N., & Mitra, U. (2017). Model and analysis of population density estimation via quorum sensing. In M. B. Matthews (Ed.), Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 (pp. 961-965). Article 7869192 (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2016.7869192

Model and analysis of population density estimation via quorum sensing. / Michelusi, Nicolo; Mitra, Urbashi.
Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016. ed. / Michael B. Matthews. IEEE Computer Society, 2017. p. 961-965 7869192 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Michelusi, N & Mitra, U 2017, Model and analysis of population density estimation via quorum sensing. in MB Matthews (ed.), Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016., 7869192, Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 961-965, 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, United States, 11/6/16. https://doi.org/10.1109/ACSSC.2016.7869192

Michelusi N, Mitra U. Model and analysis of population density estimation via quorum sensing. In Matthews MB, editor, Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016. IEEE Computer Society. 2017. p. 961-965. 7869192. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2016.7869192

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Model and analysis of population density estimation via quorum sensing

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