Mapping Biological Systems to Network Systems (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	February 2016
First published:	2016
Authors:	Heena Rathore
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	196
Edition:	1st ed. 2016
ISBN-13:	978-3-319-29780-4
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-29780-5
Barcode:	9783319297804

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