We present a general framework for resource discovery, composition and substitution in wireless networks, exploiting knowledge representation techniques: discovery information are reused at network layer to build a fully unified discovery and routing framework. Performances of the proposed framework have been evaluated using ns-2 simulator with reference to a disaster recovery scenario

Semantic-enabled Resource Discovery, Composition and Substitution in 802.11 Pervasive Environments / Ruta, Michele; Zacheo, G; Grieco, Luigi Alfredo; DI NOIA, Tommaso; Boggia, Gennaro; Tinelli, E; Camarda, Pietro; Di Sciascio, E.. - (2009), pp. 503-508. (Intervento presentato al convegno The 3rd IEEE International Conference on Semantic Computing, ICSC 2009 tenutosi a Berkeley, CA, USA nel September 14-16, 2009) [10.1109/ICSC.2009.77].

Semantic-enabled Resource Discovery, Composition and Substitution in 802.11 Pervasive Environments

RUTA, Michele;GRIECO, Luigi Alfredo;DI NOIA, Tommaso;BOGGIA, Gennaro;CAMARDA, Pietro;Di Sciascio E.
2009-01-01

Abstract

We present a general framework for resource discovery, composition and substitution in wireless networks, exploiting knowledge representation techniques: discovery information are reused at network layer to build a fully unified discovery and routing framework. Performances of the proposed framework have been evaluated using ns-2 simulator with reference to a disaster recovery scenario
2009
The 3rd IEEE International Conference on Semantic Computing, ICSC 2009
978-0-7695-3800-6
Semantic-enabled Resource Discovery, Composition and Substitution in 802.11 Pervasive Environments / Ruta, Michele; Zacheo, G; Grieco, Luigi Alfredo; DI NOIA, Tommaso; Boggia, Gennaro; Tinelli, E; Camarda, Pietro; Di Sciascio, E.. - (2009), pp. 503-508. (Intervento presentato al convegno The 3rd IEEE International Conference on Semantic Computing, ICSC 2009 tenutosi a Berkeley, CA, USA nel September 14-16, 2009) [10.1109/ICSC.2009.77].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/15441
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