INSPIRING FUTURES

An immune inspired approach to speckled computing.

Davoudani, Despina, Hart, Emma and Paechter, Ben (2007) An immune inspired approach to speckled computing. In: Artificial Immune Systems: Proceedings of 6th International Conference, ICARIS 2007. Lecture Notes in Computer Science, 4628 . Springer-Verlag, pp. 288-299. ISBN 978-3-540-73921-0

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    Abstract/Description

    Speckled Computing offers a radically new concept in information technology that has the potential to revolutionise the way we communicate and exchange information. Specks — minute, autonomous, semi-conductor grains that can sense and compute locally and communicate wirelessly — can be sprayed into the atmosphere, onto surfaces or onto people, and will collaborate as programmable computational networks called SpeckNets which will pave the way to the goal of truly ubiquitous computing. Such is the vision of the Speckled Computing Project — however, although the technology to build such devices is advancing at a rapid rate, the software that will enable such networks to self-organise and function lags somewhat behind. In this paper, we present a framework for a self-organising SpeckNet based on Cohen’s model of the immune system. We further suggest that the application of immune inspired technologies to the rapidly growing field of pervasive computation in general, offers a distinctive niche for immune-inspired computing which cannot be filled by another other known technology to date.

    Item Type: Book Section
    ISBN: 978-3-540-73921-0
    Electronic ISBN: 978-3-540-73922-7
    Additional Information: This research is funded by the SpeckNet consortium, funded by SHEFC HR03007
    Uncontrolled Keywords: Speckled computing; minute autonomous semi-conductor grains; SpeckNets; ubiquitous computing; artificial immune systems; pervasive computing;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.3 Artificial intelligence
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3435
    Depositing User: Computing Research
    Date Deposited: 15 Mar 2010 14:29
    Last Modified: 10 Dec 2013 16:26
    URI: http://researchrepository.napier.ac.uk/id/eprint/3435

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