Advances in Biologically Inspired Information Systems: Models, Methods, and Tools

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Springer Science & Business Media, 2007 - Computers - 302 pages
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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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Contents

Bioinspired Framework for Autonomic Communication Systems
3
Towards a Biologicallyinspired Architecture for SelfRegulatory and Evolvable Network Applications
20
Biologically Inspired Synchronization for Wireless Networks
47
Conceptual Framework Algorithm and Discussion
63
SelfOrganized Network Security Facilities based on Bioinspired Promoters and Inhibitors
82
Context Data Dissemination in the Bioinspired Service Life Cycle
103
Principles and Applications
125
A Case Study with the Maximal Independent Set Problem
148
Perspectives and Methods
167
Immune Systembased Energy Efficient and Reliable Communication in Wireless Sensor Networks
188
A BioInspired Architecture for Division of Labour in SANETs
211
A Pragmatic Model of Attention and Anticipation for Active Sensor Systems
231
SelfOrganization for Search in PeertoPeer Networks
249
A BioInspired Location Search Algorithm for Peer to Peer Networks
269
Ant Colony Optimization and its Application to Regular and Dynamic MAXSAT Problems
285
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About the author (2007)

Falko Dressler is Professor and head of the Distributed Embedded Systems Group at the University of Paderborn. He is a Senior Member of IEEE and ACM, as well as an IEEE Distinguished Lecturer in the fields of inter-vehicular communication, self-organization, and bio-inspired and nano-networking. He was TPC and general chair of a dozen international conferences on vehicular networking, created a Dagstuhl seminar series, and gave tutorial lectures at all major IEEE conferences on this topic.

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