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Advances in Biologically Inspired Information Systems

Models, Methods, and Tools

Gebonden Engels 2009 1e druk 9783540726920
€ 180,99
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Samenvatting

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.

Specificaties

ISBN13:9783540726920
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:302
Uitgever:Springer Berlin Heidelberg
Druk:1

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Inhoudsopgave

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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€ 180,99
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          Advances in Biologically Inspired Information Systems