Wolfram’s cellular automata model for unhealthy gas leakage detection

The Elementary Cellular Automata (ECA) introduced by Stephan Wolfram, is a powerful universal computing tool which can be explored for design solutions to a wide variety range of physical, environmental, biological as well as realtime applications. Analysis and synthesis of Null Boundary Cellular Automata (NBCA) reveals it’s suitability in environmental toxication prediction and detection. The novelty of this research work is to propose an innovative significant alternative to Artificial Intelligence-Machine learning (AI-ML) solution using cellular automata (CA) to protect our environment against contamination with unhealthy gas leakage. The design is developed around single-length cycle two attractor cellular automata (TACA). The work provides a realtime solution in a power-efficient manner having a minimum delay but with 100% efficiency.