Large Scale Network-Centric Distributed Systems

11

Nature-Inspired Computing for Autonomic Wireless Sensor Networks

Wei Li, Javid Taheri, Albert Y. Zomaya, Franciszek Seredynski, and Bjorn Landfeldt

Contents

11.1 Introduction

11.2 Autonomic WSNs

11.3 Principles of Nature-Inspired Computing

11.4 Cellular Automata

11.4.1 One-Dimensional Cellular Automata and Its Applications in WSNs

11.4.2 Two-Dimensional Cellular Automata and Its Applications in WSNs

11.5 Swarm Intelligence

11.5.1 Ant Colony Optimization

11.5.1.1 Basic Concepts

11.5.1.2 Applications in WSNs

11.5.2 Firefly Synchronization

11.5.2.1 Applications in WSNs

11.5.3 Particle Swarm Optimization

11.5.3.1 Applications in WSNs

11.6 Artificial Immune Systems

11.6.1 Negative Selection

11.6.2 Danger Theory

11.6.3 Clonal Selection

11.6.4 Immune Networks

11.6.5 Applications in WSNs

11.6.6 The Cognitive Immune Model

11.6.6.1 Application in WSNs

11.7 Evolutionary Computing

11.7.1 Basic Concepts

11.7.2 Genetic Algorithms

11.7.3 Genetic Programming

11.7.4 Evolution Strategies

11.7.5 Evolutionary Programming

11.7.6 Applications in WSNs

11.8 Molecular Biology

11.9 Bio-networking Architecture

11.10 Conclusion

References

11.1 Introduction

Millions of years of evolution created a large spectrum of highly organized forms of life on Earth, including plants, animals, and eventually humans. Today, society has reached a state of organization that requires new, powerful, and efficient mechanisms to solve complex real-life problems in the economy, engineering, and science. Economists, ...