Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, weexplore how bio-inspired methods can solve different problems linked to computer networks.
Future networks are expected to be autonomous, scalable and adaptive. During millions of years of evolution, nature has developed a number of different systems that present these and other characteristics required for the next generation networks. Indeed, a series of bio-inspired methods have been successfully used to solve the most diverse problems linked to computer networks. This book presents some of these techniques from a theoretical and practical point of view.
- Discusses the key concepts of bio-inspired networking to aid you in finding efficient networking solutions
- Delivers examples of techniques both in theoretical concepts and practical applications
- Helps you apply nature's dynamic resource and task management to your computer networks
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About the Author
Daniel Câmara is a Research Engineer at Telecom ParisTech, in France, currently working in the System on Chip Laboratory (LABSOC). His research interests
include wireless networks, distributed systems, quality of software and artificial intelligence algorithms.
Table of Contents
1. Evolution and Evolutionary Algorithms
2. Chemical Computing