Towards implementation of cellular automata in Microbial Fuel Cells

Tsompanas, M.-A. I., Adamatzky, A., Sirakoulis, G. C. and Greenman, J. (2017) Towards implementation of cellular automata in Microbial Fuel Cells. PLOS ONE, 12 (5). e0177528. ISSN 1932-6203 Available from: http://eprints.uwe.ac.uk/31815

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution 4.0.

3MB

Publisher's URL: http://dx.doi.org/10.1371/journal.pone.0177528

Abstract/Description

The Microbial Fuel Cell (MFC) is a bio-electrochemical transducer converting waste products into electricity using microbial communities. Cellular Automaton (CA) is a uniform array of finite-state machines that update their states in discrete time depending on states of their closest neighbors by the same rule. Arrays of MFCs could, in principle, act as massive-parallel computing devices with local connectivity between elementary processors. We provide a theoretical design of such a parallel processor by implementing CA in MFCs. We have chosen Conway’s Game of Life as the ‘benchmark’ CA because this is the most popular CA which also exhibits an enormously rich spectrum of patterns. Each cell of the Game of Life CA is realized using two MFCs. The MFCs are linked electrically and hydraulically. The model is verified via simulation of an electrical circuit demonstrating equivalent behaviours. The design is a first step towards future implementations of fully autonomous biological computing devices with massive parallelism. The energy independence of such devices counteracts their somewhat slow transitions—compared to silicon circuitry—between the different states during computation.

Item Type:Article
Additional Information:** From PLOS via Jisc Publications Router. ** History: ** received: 17-11-2016 ** collection: 01-01-2017 ** accepted: 29-04-2017 ** epub: 12-05-2017 ** Licence for this article: http://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords:engineering and technology, physical sciences, ecology and environmental sciences, Earth sciences
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:31815
Deposited By: R. Admin
["page:sword_deposited_by" not defined]: R. Admin
Deposited On:16 May 2017 14:37
Last Modified:18 May 2017 04:06

Request a change to this item

Total Document Downloads in Past 12 Months

Document Downloads

Total Document Downloads

More statistics for this item...