TY - GEN
T1 - Model and analysis of population density estimation via quorum sensing
AU - Michelusi, Nicolo
AU - Mitra, Urbashi
N1 - Funding Information:
The research of U. Mitra has been funded in part by one or more of the following grants: ONR N00014-15-1-2550, NSF CNS-1213128 , NSF CCF-1410009 , AFOSR FA9550-12-1-0215, and NSF CPS-1446901.
Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85016252093&partnerID=8YFLogxK
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U2 - 10.1109/ACSSC.2016.7869192
DO - 10.1109/ACSSC.2016.7869192
M3 - Conference contribution
AN - SCOPUS:85016252093
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 961
EP - 965
BT - Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Y2 - 6 November 2016 through 9 November 2016
ER -