Description
Springer Mapping Biological Systems to Network Systems by Heena Rathore
The_x000D_book presents the challenges inherent in the paradigm shift of network systems_x000D_from static to highly dynamic distributed systems - it proposes solutions that_x000D_the symbiotic nature of biological systems can provide into altering networking_x000D_systems to adapt to these changes. The author discuss how biological systems -_x000D_which have the inherent capabilities of evolving, self-organizing,_x000D_self-repairing and flourishing with time - are inspiring researchers to take_x000D_opportunities from the biology domain and map them with the problems faced in_x000D_network domain. The book revolves around the central idea of bio-inspired_x000D_systems -- it begins by exploring why biology and computer network research are_x000D_such a natural match. This is followed by presenting a broad overview of_x000D_biologically inspired research in network systems -- it is classified by the_x000D_biological field that inspired each topic and by the area of networking in_x000D_which that topic lies. Each case elucidates how biological concepts have_x000D_been most successfully applied in various domains. Nevertheless, it also_x000D_presents a case study discussing the security aspects of wireless sensor_x000D_networks and how biological solution stand out in comparison to optimized_x000D_solutions. Furthermore, it also discusses novel biological solutions for_x000D_solving problems in diverse engineering domains such as mechanical, electrical,_x000D_civil, aerospace, energy and agriculture. The readers will not only get proper_x000D_understanding of the bio inspired systems but also better insight for_x000D_developing novel bio inspired solutions._x000D_ Table of contents :- _x000D_
Introduction: Bio-inspired Systems.- Computer Networks.- Inceptive_x000D_
Finding.- Swarm Intelligence and Social Insects.- Immunology and Immune System.-_x000D_
Information Epidemics and Social Networking.- Artificial Neural Networks.- Genetic_x000D_
Algorithms.- Bio-inspired Software Defined Networking.- Case Study: Providing_x000D_
Trust in Wireless Sensor Networks.- Bio-inspired Approaches in Various_x000D_
Engineering Domain._x000D_