Cellular Automata based Optimal Illumination in LED Based Lighting Systems

Cellular automaton are tremendously utilized for their spatial and characteristically dynamic structure and detailed resolution. They outperform other models in representing practical methods of illumination. Formal Cellular Automaton is based on straightforward standard. The dynamics rely upon the state of the cell (on/off) and the state of neighboring cells. Traditional Cellular Automata can deliver various elements, surprisingly diverse dynamics, including self-replicable structures. The aim of the proposed work to use Cellular Automata is to provide a simulation on optimal illumination for LED based lighting system based on the round robin transition scheme where state of each LED is governed by its neighboring LED states in a way which optimizes the consumption of electricity without compromising much on the illumination.

[1]  Damien Regnault,et al.  On the analysis of "simple" 2D stochastic cellular automata , 2008, Discret. Math. Theor. Comput. Sci..

[2]  Stefania Bandini,et al.  Implementing Cellular Automata Based Models on Parallel Architectures: The CAPP Project , 1999, PaCT.

[3]  R. Amutha,et al.  Quantum dot Cellular Automata a review on the new paradigm in computation , 2016, 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB).

[4]  S. Shanthi,et al.  Cellular Automata and Their Realizations , 2012, 2012 International Conference on Computing Sciences.

[5]  Scott Koziol,et al.  Neuromorphic Computation Using Quantum-Dot Cellular Automata , 2017, 2017 IEEE International Conference on Rebooting Computing (ICRC).

[6]  G B Ermentrout,et al.  Cellular automata approaches to biological modeling. , 1993, Journal of theoretical biology.

[7]  Wolfgang Porod,et al.  Quantum cellular automata , 1994 .