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Mapping Biological Systems to Network Systems

  • Heena Rathore

Table of contents

  1. Front Matter
    Pages i-ix
  2. Heena Rathore
    Pages 1-10
  3. Heena Rathore
    Pages 11-25
  4. Heena Rathore
    Pages 27-35
  5. Heena Rathore
    Pages 37-50
  6. Heena Rathore
    Pages 51-65
  7. Heena Rathore
    Pages 79-96
  8. Heena Rathore
    Pages 97-106
  9. Heena Rathore
    Pages 107-115
  10. Back Matter
    Pages 195-196

About this book

Introduction

The book presents the challenges inherent in the paradigm shift of network systems from static to highly dynamic distributed systems – it proposes solutions that the symbiotic nature of biological systems can provide into altering networking systems to adapt to these changes. The author discuss how biological systems – which have the inherent capabilities of evolving, self-organizing, self-repairing and flourishing with time – are inspiring researchers to take opportunities from the biology domain and map them with the problems faced in network domain. The book revolves around the central idea of bio-inspired systems -- it begins by exploring why biology and computer network research are such a natural match. This is followed by presenting a broad overview of biologically inspired research in network systems -- it is classified by the biological field that inspired each topic and by the area of networking in which that topic lies. Each case elucidates how biological concepts have been most successfully applied in various domains. Nevertheless, it also presents a case study discussing the security aspects of wireless sensor networks and how biological solution stand out in comparison to optimized solutions. Furthermore, it also discusses novel biological solutions for solving problems in diverse engineering domains such as mechanical, electrical, civil, aerospace, energy and agriculture. The readers will not only get proper understanding of the bio inspired systems but also better insight for developing novel bio inspired solutions.

  • Shows how bio-inspired systems – which are inherently robust, flexible and have high resilience towards critical errors -- hold immense potential for next generation network systems
  • Outlines computing and problem solving techniques inspired by biological systems that can provide flexible, adaptable ways of solving networking problems
  • Provides insights into how the study of biological systems can make network systems more flexible, adaptable, self-organized, self-aware, and self-sufficient

Keywords

Bio-Inspired Machine Learning Bio-inspired systems Biologically inspired research in network systems Computer network research Dynamic distributed systems Genetic Algorithms Networking systems Swarm intelligence Wireless sensor networks

Authors and affiliations

  • Heena Rathore
    • 1
  1. 1.Indian Institute of TechnologyJodhpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-29782-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-29780-4
  • Online ISBN 978-3-319-29782-8
  • Buy this book on publisher's site