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Computing the State of Specknets: further analysis of an innate immune-inspired model.

Davoudani, Despina, Hart, Emma and Paechter, Ben (2008) Computing the State of Specknets: further analysis of an innate immune-inspired model. In: Artificial Immune Systems, 7th International Conference, ICARIS 2008, Phuket, Thailand, August 2008, Proceedings. Springer Berlin / Heidelberg, Phuket, Thailand, pp. 95-106. ISBN 978-3-540-85071-7

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Abstract/Description

Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their great complexity, pose considerable challenges for engineers due to the unreliability and scarce resources of individual devices. Their limitations make it difficult to apply traditional engineering approaches. In this paper, we describe a model inspired by the dendritic cells of the innate immune system; often overlooked in artificial immune systems, dendritic cells possess a unique ability to scout the body environment and then present an integrated picture of the internal state of the body to the adaptive system. We adopt a model, inspired by this approach, to sense the state of a Specknet and provide experimental results to show that useful information can be gathered from the Specknet in order to determine local states. Experiments are conducted using realistic random topologies in a simulation environment, in a scenario which models sensing temperature changes.

Item Type: Book Section
ISBN: 978-3-540-85071-7
Additional Information: paper presented at 7th International Conference, ICARIS 2008, Phuket, Thailand, August 2008
Uncontrolled Keywords: Specknet; speckled computing; innate immune system; artificial immune systems; minute semi-conductor grains; wireless sensor networks;
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
600 Technology > 620 Engineering > 621 Electronic & mechanical engineering > 621.3 Electrical & electronic engineering > 621.38 Electronics & Communications engineering > 621.389 Computer engineering
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3496
Depositing User: Computing Research
Date Deposited: 18 Jan 2010 15:48
Last Modified: 04 Mar 2010 15:53
URI: http://researchrepository.napier.ac.uk/id/eprint/3496

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