Title
A smart home resource management system for multiple inhabitants by agent conceding negotiation
Abstract
This paper proposes a home resource management system for a smart home with multiple inhabitants. The system uses home ontology to covers the characteristics of available resources in smart homes. The ontology provides information of living space partition, energy consumption, and network bandwidth to detect resource usage conflict. Case-base reasoning is used to predict inhabitant resource requirement of smart homes. The system then uses BDI agent, blackboard systems, and conceding negotiation to find a common consensus plan of home resources for inhabitants. The BDI agent unfolds the inhabitants' information by belief, desire, and intension model. Blackboard system provides a platform for agent communication and resource usage conflict detection. Finally, conceding negotiation uses utility computation and conceder selection to find a common consensus resource allocation plan. The system is simulated in the sample smart home. It can provide an intelligent mechanism for efficient resource allocation.
Year
DOI
Venue
2008
10.1109/ICSMC.2008.4811344
SMC
Keywords
Field
DocType
ontolofy,energy consumption information,resource uage conflict,smart home resource management system,multiple inhabitants,bdi agent,case-based reasoning,conceding negotiation,home automation,network bandwidth information,agent conceding negotiation,case-base reasoning,home ontology,utility computation,ontologies (artificial intelligence),living space partition information,blackboard architecture,blackboard systems,utility computing,ontologies,tv,smart home,case base reasoning,case based reasoning,resource allocation,resource management
Ontology (information science),Resource management,Ontology,Computer science,Computer security,Blackboard system,Knowledge management,Home automation,Resource allocation,Resource Management System,Negotiation
Conference
ISSN
ISBN
Citations 
1062-922X E-ISBN : 978-1-4244-2384-2
978-1-4244-2384-2
3
PageRank 
References 
Authors
0.50
9
2
Name
Order
Citations
PageRank
Chien-Chang Hsu17611.68
Liang-Zong Wang230.50