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Advances In Biologically Inspired Information Systems Models Methods And Tools 2009 Edition at Meripustak

Advances In Biologically Inspired Information Systems Models Methods And Tools 2009 Edition by Falko Dressler Iacopo Carreras , Springer

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  • General Information  
    Author(s)Falko Dressler Iacopo Carreras
    PublisherSpringer
    ISBN9783540726920
    Pages302
    BindingHardback
    LanguageEnglish
    Publish YearMarch 2009

    Description

    Springer Advances In Biologically Inspired Information Systems Models Methods And Tools 2009 Edition by Falko Dressler Iacopo Carreras

    Technology is taking us to a world where myriads of networked devices interact with the physical world in multiple ways and at multiple scales. This book presents a comprehensive overview of the most promising research directions in the area of bio-inspired computing. According to the broad spectrum addressed by the different chapters a rich variety of biological principles and their application to ICT systems are presented. Table of contents : Self-Organizing Network Environments.- Bio-inspired Framework for Autonomic Communication Systems.- Towards a Biologically-inspired Architecture for Self-Regulatory and Evolvable Network Applications.- Biologically Inspired Synchronization for Wireless Networks.- Bio-Inspired Congestion Control: Conceptual Framework Algorithm and Discussion.- Self-Organized Network Security Facilities based on Bio-inspired Promoters and Inhibitors.- System Design and Programming.- Context Data Dissemination in the Bio-inspired Service Life Cycle.- Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications.- Toward Organization-Oriented Chemical Programming: A Case Study with the Maximal Independent Set Problem.- Evolving Artificial Cell Signaling Networks: Perspectives and Methods.- Sensor and Actor Networks.- Immune System-based Energy Efficient and Reliable Communication in Wireless Sensor Networks.- A Bio-Inspired Architecture for Division of Labour in SANETs.- A Pragmatic Model of Attention and Anticipation for Active Sensor Systems.- Search and Optimization.- Self-Organization for Search in Peer-to-Peer Networks.- A Bio-Inspired Location Search Algorithm for Peer to Peer Networks.- Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems.



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