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

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.