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Biologically Inspired Approaches to Network Systems

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Book cover Grid Enabled Remote Instrumentation

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

This chapter describes two branches of biologically inspired approaches to networks: biologically inspired computer networks (i.e., the bio-networking architecture) and biologically inspired nanoscale biological networks (i.e., molecular communication). The first branch, biologically inspired computer networks, applies techniques and algorithms from biological systems to the design and development of computer networks. The second branch, biologically inspired nanoscale biological networks, applies techniques and algorithms from biological systems to the design and engineering of nanoscale biological networks.

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Author information

Authors and Affiliations

  1. University of California Irvine, Irvine, California 92697, USA

    T. Suda, T. Nakano, M. Moore & K. Fujii

Authors
  1. T. Suda
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  2. T. Nakano
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  3. M. Moore
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  4. K. Fujii
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Editor information

Editors and Affiliations

  1. CNIT, University of Genoa Research Unit, DIST-University of Genoa, Via Opera Pia 13, 16145 Genova, Italy

    Franco Davoli  & Sandro Zappatore  & 

  2. Poznań Supercomputing and Networking Center (PSNC), Institute of Bioorganic Chemistry Polish Academy of Sciences, ul. Noskowskiego 12/14, 61-704 Poznań, Poland

    Norbert Meyer

  3. Information Technology Department, Sincrotrone Trieste S.C.p.A, S.S. 14, km 163.5 Area Science Park, 34012 Basovizza (Trieste), Italy

    Roberto Pugliese

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© 2009 Springer Science+Business Media, LLC

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Suda, T., Nakano, T., Moore, M., Fujii, K. (2009). Biologically Inspired Approaches to Network Systems. In: Davoli, F., Meyer, N., Pugliese, R., Zappatore, S. (eds) Grid Enabled Remote Instrumentation. Signals and Communication Technology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09663-6_6

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  • DOI: https://doi.org/10.1007/978-0-387-09663-6_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-09662-9

  • Online ISBN: 978-0-387-09663-6

  • eBook Packages: EngineeringEngineering (R0)

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