Emerging Applications of Cellular Automata
InTech eBooks · 2013
non-uniform cellular automata called attractor basin, and classify the patterns on the basis of two-class classifier architecture similar to support vector machines.Chapter 4 presents cellular automata models are useful tools to simulate biological systems.One of the prominent issues in cellular automata modeling is choosing correct parameter values in the absence of experimental results.This chapter addresses this issue with global sensitivity analysis.By means of "first-order" and "total effect" indices, this Monte Carlo based method explains the influence individual parameters have on the model output.Chapter 5 proposes routing misbehavior detection in wireless sensor networks using irregular cellular learning automata.The proposed protocol uses the concept of cellular learning automata to detect suspect nodes based on behavior and energy level of each node in packet forwarding in order to achieve an energy aware intrusion detection system.Simulation results show that the system has good detection capabilities in finding malicious nodes in network.Chapter 6 provides a brief investigation for variant phase spaces construction.Ten propositions and four predictions are established in the chapter as the main results to provide a foundation for further exploration on quantum interpretation, statistical mechanics, complex dynamic systems and cellular automata.We hope that, after the reading of the outstanding contributions compiled in this book, we will have succeeded in bringing across what engineers and scientists are now doing about the application of cellular automata for solving practical problems in diverse disciplines.We also hope that this book will have been to your interest and liking.Lastly, we would like to thank all the authors for their excellent contributions in the different topics of the field of cellular automata covered in this book.