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Advances in Biologically Inspired Information Systems

Models, Methods, and Tools

  • Falko Dressler
  • Iacopo Carreras

Part of the Studies in Computational Intelligence book series (SCI, volume 69)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Self-Organizing Network Environments

    1. Front Matter
      Pages 2-2
    2. Mícheál ó Foghlú, John Strassner
      Pages 3-19
    3. Alexander Tyrrell, Gunther Auer, Christian Bettstetter
      Pages 47-62
  3. System Design and Programming

    1. Front Matter
      Pages 100-100
    2. Carsten Jacob, David Linner, Heiko Pfeffer, Ilja Radusch, Stephan Steglich
      Pages 101-122
    3. Iacopo Carreras, Daniele Miorandi, Geoffrey S. Canright, Kenth Engø-Monsen
      Pages 123-145
    4. Naoki Matsumaru, Thorsten Lenser, Thomas Hinze, Peter Dittrich
      Pages 147-163
    5. James Decraene, George G. Mitchell, Barry McMullin
      Pages 165-184
  4. Sensor and Actor Networks

    1. Front Matter
      Pages 186-186
    2. Thomas Halva Labella, Falko Dressler
      Pages 209-228
    3. Sorin M. Iacob, Johan De Heer, Alfons H. Salden
      Pages 229-243
  5. Search and Optimization

    1. Front Matter
      Pages 246-246
    2. Sachin Kulkarni, Niloy Ganguly, Geoffrey Canright, Andreas Deutsch
      Pages 267-282
    3. Pedro C. Pinto, Thomas A. Runkler, João M. C. Sousa
      Pages 283-302

About this book

Introduction

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.

Keywords

Biologically Inspired Information Systems Computational Intelligence Sensor Service algorithm algorithms architecture autonom communication environment information system model optimization programming stability

Editors and affiliations

  • Falko Dressler
    • 1
  • Iacopo Carreras
    • 2
  1. 1.University of ErlangenErlangenGermany
  2. 2.CREATE-NETTrentoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-72693-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-72692-0
  • Online ISBN 978-3-540-72693-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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