TY - GEN
T1 - Queueing theory as a modeling tool for bacterial interaction
T2 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
AU - Mitra, U.
AU - Michelusi, N.
AU - Pirbadian, S.
AU - Koorehdavoudi, H.
AU - El-Naggar, M. Y.
AU - Bogdan, P.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/26
Y1 - 2015/3/26
N2 - Microbial communities play a significant role in bioremediation, plant growth promotion, human and animal digestion, drive elemental cycles, the carbon-cycle and cleaning water. They are also posed to be the engines of renewable energy via microbial fuel cells which can reverse the process of electrosynthesis. While the diffusion of chemical signals in the surrounding medium of biological systems has been heavily studied, the electron transfer mechanism occurring in living cells and its role in cell-cell interaction is less understood. Recent experimental observations open up new frontiers in the design of electron-based communication and energy networks in microbial communities, which may coexist with the more well-known interaction strategies based on molecular diffusion. In this position paper, a series of modeling strategies is proposed, informed by experiment, to describe the large-scale interaction of bacterial communities. A new queueing theoretic model for the internal workings of a bacterium is described as well as methods based on statistical physics to scale up the queuing models. The goal is to couple modeling with experiment to optimize the design of microbial fuel cells.
AB - Microbial communities play a significant role in bioremediation, plant growth promotion, human and animal digestion, drive elemental cycles, the carbon-cycle and cleaning water. They are also posed to be the engines of renewable energy via microbial fuel cells which can reverse the process of electrosynthesis. While the diffusion of chemical signals in the surrounding medium of biological systems has been heavily studied, the electron transfer mechanism occurring in living cells and its role in cell-cell interaction is less understood. Recent experimental observations open up new frontiers in the design of electron-based communication and energy networks in microbial communities, which may coexist with the more well-known interaction strategies based on molecular diffusion. In this position paper, a series of modeling strategies is proposed, informed by experiment, to describe the large-scale interaction of bacterial communities. A new queueing theoretic model for the internal workings of a bacterium is described as well as methods based on statistical physics to scale up the queuing models. The goal is to couple modeling with experiment to optimize the design of microbial fuel cells.
KW - Electron transfer
KW - bacterial cables
KW - stochastic modeling
UR - http://www.scopus.com/inward/record.url?scp=84928027317&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84928027317&partnerID=8YFLogxK
U2 - 10.1109/ICCNC.2015.7069423
DO - 10.1109/ICCNC.2015.7069423
M3 - Conference contribution
AN - SCOPUS:84928027317
T3 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
SP - 658
EP - 662
BT - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 February 2015 through 19 February 2015
ER -