Mapping Biological Systems To Network Systems

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Mapping Biological Systems to Network Systems

Mapping Biological Systems to Network Systems
Author :
Publisher : Springer
Total Pages : 200
Release :
ISBN-10 : 9783319297828
ISBN-13 : 3319297821
Rating : 4/5 (821 Downloads)

Book Synopsis Mapping Biological Systems to Network Systems by : Heena Rathore

Download or read book Mapping Biological Systems to Network Systems written by Heena Rathore and published by Springer. This book was released on 2016-02-10 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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