Mapping biological systems to network systems [electronic resource] / Heena Rathore.
Rathore, Heena, author.
2016
TK5105.5
Available Online

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Title Mapping biological systems to network systems [electronic resource] / Heena Rathore.
Author Rathore, Heena, author.
ISBN 9783319297828 (electronic book)
3319297821 (electronic book)
9783319297804
DOI https://doi.org/10.1007/978-3-319-29782-8
Published Switzerland : Springer, [2016]
Copyright ©2016
Language English
Description 1 online resource : illustrations.
Other Standard Identifiers 10.1007/978-3-319-29782-8 doi
Call Number TK5105.5
Dewey Decimal Classification 004.6
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource ; title from PDF title page (viewed February 16, 2016).
Available in Other Form Mapping Biological Systems to Network Systems
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction: Bio-inspired Systems
Computer Networks
Inceptive Finding
Swarm Intelligence and Social Insects
Immunology and Immune System
Information Epidemics and Social Networking
Artificial Neural Networks
Genetic Algorithms
Bio-inspired Software Defined Networking
Case Study: Providing Trust in Wireless Sensor Networks
Bio-inspired Approaches in Various Engineering Domain.

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