Cellular Automata as a Network Topology

Abstract

Cellular automata represent physical systems where both space and time are discrete, and the associated physical quantities assume a limited set of values. While previous research has applied cellular automata in modeling chemical, biological, and physical systems, its potential for modeling topological systems, specifically network topologies, remains underexplored. This paper investigates the use of cellular automata to model decentralized network topologies, which could enhance load balancing, fault tolerance, scalability, and the propagation and dissemination of information in distributed systems.