By Topic

Efficient Modeling and Simulation of Bacteria-Based Nanonetworks with BNSim

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Guopeng Wei ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Paul Bogdan ; Radu Marculescu

Bacteria-based networks are formed using native or engineered bacteria that communicate at nano-scale. This definition includes the micro-scale molecular transportation system which uses chemotactic bacteria for targeted cargo delivery, as well as genetic circuits for intercellular interactions like quorum sensing or light communication. To characterize the dynamics of bacterial networks accurately, we introduce BNSim, an open-source, parallel, stochastic, and multiscale modeling platform which integrates various simulation algorithms, together with genetic circuits and chemotactic pathway models in a complex 3D environment. Moreover, we show how this platform can be used to model synthetic bacterial consortia which implement a XOR function and aggregate nearby bacteria using light communication. Consequently, the results demonstrate how BNSim can predict various properties of realistic bacterial networks and provide guidance for their actual wet-lab implementations.

Published in:

IEEE Journal on Selected Areas in Communications  (Volume:31 ,  Issue: 12 )