Mapping Biological Systems to Network Systems / Najlacnejšie knihy
Mapping Biological Systems to Network Systems

Code: 02910189

Mapping Biological Systems to Network Systems

by Heena Rathore

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 ... more

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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Biology, life sciences Molecular biology

61.28

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