Authors:
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
Includes supplementary material: sn.pub/extras
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Indian Institute of Technology, Jodhpur, India
Heena Rathore
Bibliographic Information
Book Title: Mapping Biological Systems to Network Systems
Authors: Heena Rathore
DOI: https://doi.org/10.1007/978-3-319-29782-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-29780-4Published: 19 February 2016
Softcover ISBN: 978-3-319-80652-5Published: 30 March 2018
eBook ISBN: 978-3-319-29782-8Published: 10 February 2016
Edition Number: 1
Number of Pages: IX, 196
Number of Illustrations: 70 b/w illustrations, 37 illustrations in colour
Topics: Communications Engineering, Networks, Mathematical and Computational Engineering, Artificial Intelligence, Bioinformatics