Mapping Biological Systems to Network Systems
Seiten
2018
|
1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-80652-5 (ISBN)
Springer International Publishing (Verlag)
978-3-319-80652-5 (ISBN)
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.
Introduction: Bio-inspired Systems.- Computer Networks.- InceptiveFinding.- Swarm Intelligence and Social Insects.- Immunology and Immune System.-Information Epidemics and Social Networking.- Artificial Neural Networks.- GeneticAlgorithms.- Bio-inspired Software Defined Networking.- Case Study: ProvidingTrust in Wireless Sensor Networks.- Bio-inspired Approaches in VariousEngineering Domain.
Erscheinungsdatum | 18.06.2018 |
---|---|
Zusatzinfo | IX, 196 p. 107 illus., 37 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 326 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Algebra |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Nachrichtentechnik | |
Schlagworte | Bio-Inspired Machine Learning • bio-inspired systems • Biologically inspired research in network systems • Computer network research • Dynamic distributed systems • Genetic algorithms • Networking systems • Swarm intelligence • wireless sensor networks |
ISBN-10 | 3-319-80652-1 / 3319806521 |
ISBN-13 | 978-3-319-80652-5 / 9783319806525 |
Zustand | Neuware |
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