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DCOP FOR SMART HOMES: A CASE STUDY
Author(s) -
Pecora Federico,
Cesta Amedeo
Publication year - 2007
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.2007.00313.x
Subject(s) - computer science , home automation , domain (mathematical analysis) , constraint (computer aided design) , state (computer science) , asset (computer security) , metaphor , artificial intelligence , distributed computing , human–computer interaction , computer security , algorithm , engineering , mathematics , telecommunications , mechanical engineering , mathematical analysis , linguistics , philosophy
The aim of this article is to bring forth the issue of integrating the services provided by intelligent artifacts in Ambient Intelligence applications. Specifically, we propose a Distributed Constraint Optimization procedure for achieving a functional integration of intelligent artifacts in a smart home. To this end, we employ Adopt‐N , a state‐of‐the‐art algorithm for solving Distributed Constraint Optimization Problems (DCOP). This article attempts to state the smart home coordination problem in general terms, and provides the details of a DCOP‐based approach by describing a case study taken from the RoboCare project. More specifically, we show how (1) DCOP is a convenient metaphor for casting smart home coordination problems, and (2) the specific features which distinguish Adopt‐N from other algorithms for DCOP represent a strong asset in the smart home domain.