Literature Database Entry


Falko Dressler, "Efficient and Scalable Communication in Autonomous Networking using Bio-inspired Mechanisms - An Overview," Informatica - An International Journal of Computing and Informatics, vol. 29 (2), pp. 183–188, July 2005.


Autonomous networking is a challenging research area. Systems, in this case networks, are composed of many independent entities that perform a predefined task. The behavior of the global system is a result of the interaction of all the autonomous entities. The programming paradigms shift to the development of just these small entities. Self-organization is the solution for managing such environments. In this paper we demonstrate the possibilities which evolve by the application of cell biology for computer networking. With the focus on autonomous networking, the combination with methodologies known from swarm intelligence is evaluated. We show the capabilities of this combination and derive destinations and goals for self-organization in communication networks showing a more efficient and scalable behavior.

Quick access

Authors' Version PDF (PDF on this web site)
BibTeX BibTeX


Falko Dressler

BibTeX reference

    author = {Dressler, Falko},
    title = {{Efficient and Scalable Communication in Autonomous Networking using Bio-inspired Mechanisms - An Overview}},
    pages = {183--188},
    journal = {Informatica - An International Journal of Computing and Informatics},
    publisher = {Slovenian Society Informatika},
    month = {7},
    number = {2},
    volume = {29},
    year = {2005},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-07-21