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000753807 019__ $$a940438371
000753807 020__ $$a9783319297828$$q(electronic book)
000753807 020__ $$a3319297821$$q(electronic book)
000753807 020__ $$z9783319297804
000753807 0247_ $$a10.1007/978-3-319-29782-8$$2doi
000753807 035__ $$aSP(OCoLC)ocn938890915
000753807 035__ $$aSP(OCoLC)938890915$$z(OCoLC)940438371
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000753807 049__ $$aISEA
000753807 050_4 $$aTK5105.5
000753807 08204 $$a004.6$$223
000753807 1001_ $$aRathore, Heena,$$eauthor.
000753807 24510 $$aMapping biological systems to network systems$$h[electronic resource] /$$cHeena Rathore.
000753807 264_1 $$aSwitzerland :$$bSpringer,$$c[2016]
000753807 264_4 $$c©2016
000753807 300__ $$a1 online resource :$$billustrations.
000753807 336__ $$atext$$btxt$$2rdacontent
000753807 337__ $$acomputer$$bc$$2rdamedia
000753807 338__ $$aonline resource$$bcr$$2rdacarrier
000753807 504__ $$aIncludes bibliographical references and index.
000753807 5050_ $$aIntroduction: Bio-inspired Systems -- Computer Networks -- Inceptive Finding -- Swarm Intelligence and Social Insects -- Immunology and Immune System -- Information Epidemics and Social Networking -- Artificial Neural Networks -- Genetic Algorithms -- Bio-inspired Software Defined Networking -- Case Study: Providing Trust in Wireless Sensor Networks -- Bio-inspired Approaches in Various Engineering Domain.
000753807 506__ $$aAccess limited to authorized users.
000753807 520__ $$aThe 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. 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.
000753807 588__ $$aOnline resource ; title from PDF title page (viewed February 16, 2016).
000753807 650_0 $$aComputer networks$$xDesign and construction.
000753807 650_0 $$aBiological systems.
000753807 77608 $$iPrint version:$$aRathore, Heena$$tMapping Biological Systems to Network Systems$$dCham : Springer International Publishing,c2016$$z9783319297804
000753807 852__ $$bebk
000753807 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-29782-8$$zOnline Access$$91397441.1
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000753807 980__ $$aEBOOK
000753807 980__ $$aBIB
000753807 982__ $$aEbook
000753807 983__ $$aOnline
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