The aim of this paper 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.
DCOP for Smart Homes: a Case Study
Blackwell, Oxford , Regno Unito
Computational intelligence 23 (2007): 397–419. doi:10.1111/j.1467-8640.2007.00313.x
info:cnr-pdr/source/autori:Pecora, F.; Cesta, A./titolo:DCOP for Smart Homes: a Case Study/doi:10.1111/j.1467-8640.2007.00313.x/rivista:Computational intelligence/anno:2007/pagina_da:397/pagina_a:419/intervallo_pagine:397–419/volume:23