Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication

Authors:
Tatsuya Suda;Tadashi Nakano;Michael Moore;Akhiro Enomoto;Keita Fujii
Affiliations:
Information and Computer Science, University of California, Irvine, Irvine, USA CA 92697-3425;Information and Computer Science, University of California, Irvine, Irvine, USA CA 92697-3425;Information and Computer Science, University of California, Irvine, Irvine, USA CA 92697-3425;Information and Computer Science, University of California, Irvine, Irvine, USA CA 92697-3425;Information and Computer Science, University of California, Irvine, Irvine, USA CA 92697-3425
Venue:
Bio-Inspired Computing and Communication
Year:
2008

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Abstract

This article describes two branches of biologically inspired approaches to networks; biologically inspired computer networks and biologically inspired nanoscale biological networks. The first branch, biologically inspired computer networks, applies techniques and algorithms from biological systems to design computer networks. The second branch, biologically inspired nanoscale biological networks, applies techniques and algorithms from biological systems to design nanoscale biological networks. This paper describes these two branches of approaches proposed by the authors of this paper; biologically inspired computer networks (i.e., the Bio-Networking Architecture) and biologically inspired nanoscale biological networks (i.e., the Molecular Communication).