Model and analysis of population density estimation via quorum sensing

Nicolo Michelusi, Urbashi Mitra

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages961-965
Number of pages5
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Externally publishedYes
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Publication series

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

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
CountryUnited States
CityPacific Grove
Period11/6/1611/9/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Model and analysis of population density estimation via quorum sensing'. Together they form a unique fingerprint.

Cite this