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An auto-configurable, and, adaptable, metric-driven cluster-head organisation for hybrid multi-hop routing.

Migas, Nikos and Buchanan, William J (2006) An auto-configurable, and, adaptable, metric-driven cluster-head organisation for hybrid multi-hop routing. In: 13th Annual IEEE International Symposium on Engineering of Computer-Based Systems (ECBS'06): Mastering the complexity of computer-based systems., 27-30th March 2006.

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Abstract/Description

Multi-hop ad-hoc routing is a challenging issue, because of the dynamic network topology, and limited capabilities of resource-constrained mobile devices. This paper proposes a metric-driven clustering organisation of participating nodes which provides an effective way to reduce network overhead, in contrast to traditional flooding methods. This novel method creates a network backbone for data routing and location management, which is composed of the fittest nodes. The key metrics are: mobility, buffering capabilities, throughput, network state, utilisation, and battery reserves. The paper presents the overall agent-based model, and describes the adaptability of the cluster-head metrics, and the automated reconfigurability of an ad-hoc network.

Item Type: Conference or Workshop Item (Paper)
ISBN: 0769525466
Additional Information: Published by IEEE Computer Society.
Uncontrolled Keywords: Computer communication networks; Routing protocols; Multi-hop routing; Mobile communications; Network architecture; Distributed networks; Metric driven clustering; Node identification; Algorithms; Performance;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 300 Social sciences > 380 Commerce, communications & transportation > 384 Communications; telecommunication
600 Technology > 620 Engineering > 621 Electronic & mechanical engineering
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
Library of Congress Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA76 Computer software
Item ID: 1820
Depositing User: RAE Import
Date Deposited: 21 May 2008 10:05
Last Modified: 21 Dec 2010 10:46
URI: http://researchrepository.napier.ac.uk/id/eprint/1820

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