000 04164nam a22005175i 4500
001 978-3-319-29782-8
003 DE-He213
005 20200421112555.0
007 cr nn 008mamaa
008 160210s2016 gw | s |||| 0|eng d
020 _a9783319297828
_9978-3-319-29782-8
024 7 _a10.1007/978-3-319-29782-8
_2doi
050 4 _aTK1-9971
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aRathore, Heena.
_eauthor.
245 1 0 _aMapping Biological Systems to Network Systems
_h[electronic resource] /
_cby Heena Rathore.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aIX, 196 p. 107 illus., 70 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aBioinformatics.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aBioinformatics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319297804
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-29782-8
912 _aZDB-2-ENG
942 _cEBK
999 _c59095
_d59095