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Mapping Biological Systems to Network Systems
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Mapping Biological Systems to Network Systems

Softcover reprint of the original 1st ed. 2016

Book Details

Format Paperback / Softback
ISBN-10 3319806521
ISBN-13 9783319806525
Edition Softcover reprint of the original 1st ed. 2016
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 30th, 2018
Print length 196 Pages
Ksh 8,100.00
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Thebook presents the challenges inherent in the paradigm shift of network systemsfrom static to highly dynamic distributed systems – it proposes solutions thatthe symbiotic nature of biological systems can provide into altering networkingsystems to adapt to these changes.
Thebook presents the challenges inherent in the paradigm shift of network systemsfrom static to highly dynamic distributed systems - it proposes solutions thatthe symbiotic nature of biological systems can provide into altering networkingsystems 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 takeopportunities from the biology domain and map them with the problems faced innetwork domain. The book revolves around the central idea of bio-inspiredsystems -- it begins by exploring why biology and computer network research aresuch a natural match. This is followed by presenting a broad overview ofbiologically inspired research in network systems -- it is classified by thebiological field that inspired each topic and by the area of networking inwhich that topic lies. Each case elucidates how biological concepts havebeen most successfully applied in various domains. Nevertheless, it alsopresents a case study discussing the security aspects of wireless sensornetworks and how biological solution stand out in comparison to optimizedsolutions. Furthermore, it also discusses novel biological solutions forsolving problems in diverse engineering domains such as mechanical, electrical,civil, aerospace, energy and agriculture. The readers will not only get properunderstanding of the bio inspired systems but also better insight fordeveloping novel bio inspired solutions.

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