Ambient Intelligence aims at autonomic coordination and control of appliances and subsystems located in a given environment. Home and Building Automation (HBA) complies with this paradigm but it is based on an explicit interaction with the user and a static set of operational scenarios. This paper proposes a more flexible multi-agent approach, leveraging semantic-based resource discovery and orchestration in HBA. Backward-compatible enhancements to EIB/KNX domotic standard allow to support the semantic characterization of user profiles and device functionalities, so enabling: (i) negotiation of the most suitable home services/functionalities according to implicit and explicit user needs, (ii) device-driven interaction for adapting the environment to context evolution. A power management problem in HBA is presented as a case study to better clarify the proposal and assess its effectiveness.
Semantic-based Smart Homes: a Multi-Agent Approach / Loseto, Giuseppe; Scioscia, Floriano; Ruta, Michele; Di Sciascio, Eugenio. - 892:(2012), pp. 49-55. (Intervento presentato al convegno 13th Workshop on Objects and Agents, WOA 2012 tenutosi a Milan, Italy nel September 2012).
Semantic-based Smart Homes: a Multi-Agent Approach
Loseto, Giuseppe;Scioscia, Floriano;Ruta, Michele;Di Sciascio, Eugenio
2012-01-01
Abstract
Ambient Intelligence aims at autonomic coordination and control of appliances and subsystems located in a given environment. Home and Building Automation (HBA) complies with this paradigm but it is based on an explicit interaction with the user and a static set of operational scenarios. This paper proposes a more flexible multi-agent approach, leveraging semantic-based resource discovery and orchestration in HBA. Backward-compatible enhancements to EIB/KNX domotic standard allow to support the semantic characterization of user profiles and device functionalities, so enabling: (i) negotiation of the most suitable home services/functionalities according to implicit and explicit user needs, (ii) device-driven interaction for adapting the environment to context evolution. A power management problem in HBA is presented as a case study to better clarify the proposal and assess its effectiveness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
