Advances in Biologically Inspired Information Systems: Models, Methods, and Tools
Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways and at multiple scales, from the global Internet down to micro and nano devices. Many of these devices are highly mobile and must adapt to the surrounding environment in a totally unsupervised way.
A fundamental research challenge is the design of robust decentralized computing systems that are capable of operating under changing environments and noisy input, and yet exhibit the desired behavior and response time, under constraints such as energy consumption, size, and processing power.
Biological systems are able to handle many of these challenges with an elegance and efficiency still far beyond current human artifacts. The goal is to obtain methods on how to engineer technical systems, which have similar high stability and efficiency.
With this book, we present 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 book chapters, a rich variety of biological principles and their application to ICT systems are presented.
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Bioinspired Framework for Autonomic Communication Systems
Towards a Biologicallyinspired Architecture for SelfRegulatory and Evolvable Network Applications
Biologically Inspired Synchronization for Wireless Networks
Conceptual Framework Algorithm and Discussion
SelfOrganized Network Security Facilities based on Bioinspired Promoters and Inhibitors
Context Data Dissemination in the Bioinspired Service Life Cycle
Principles and Applications
A Case Study with the Maximal Independent Set Problem
Perspectives and Methods
Immune Systembased Energy Efﬁcient and Reliable Communication in Wireless Sensor Networks
A BioInspired Architecture for Division of Labour in SANETs
A Pragmatic Model of Attention and Anticipation for Active Sensor Systems
SelfOrganization for Search in PeertoPeer Networks
A BioInspired Location Search Algorithm for Peer to Peer Networks
Ant Colony Optimization and its Application to Regular and Dynamic MAXSAT Problems
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Advances in Biologically Inspired Information Systems: Models, Methods, and ...
Falko Dressler,Iacopo Carreras
No preview available - 2010